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Expert Opinion on Drug Discovery
H-index 33

Expert Opinion on Drug Discovery

1746-0441

Published by: Taylor & Francis

https://www.tandfonline.com/toc/iedc20/current

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Medicine 1718 49 50 15

Additional Metrics

Number of Best Scientists*: 207
Documents by Best Scientists*: 220
Top 100 Ranked Scientists*: 5
SCIMAGO H-index: 90
SCIMAGO SJR: 1.195
Impact Factor: 4.9

Overview

Top Research Topics at Expert Opinion on Drug Discovery?

The journal explores disciplines such as Drug discovery, Computational biology, Pharmacology, Bioinformatics and Drug. Studies in Drug discovery and Expert opinion are the key highlights in the journal. Some problems in Computational biology that were presented in it overlapped with concepts under Virtual screening and In silico.

The work on Pharmacology tackled in the journal brings together disciplines like Clinical trial, Neuroscience and In vivo. Drug research discussed connects with the study of Intensive care medicine. Expert Opinion on Drug Discovery features Disease research that overlaps with concepts in Immunology.

  • Drug discovery (48.78%)
  • Computational biology (19.91%)
  • Pharmacology (19.55%)

What are the most cited papers published in the journal?

  • The MM/PBSA and MM/GBSA methods to estimate ligand-binding affinities (1432 citations)
  • Lipophilicity in drug discovery. (473 citations)
  • Virtual Screening with AutoDock: Theory and Practice. (326 citations)

Research areas of the most cited articles at Expert Opinion on Drug Discovery:

The most cited articles aim to foster the development of research in Drug discovery, Computational biology, Pharmacology, Drug and Bioinformatics. The journal publications aim to form a more comprehensive understanding of the field by integrating disciplines like Drug discovery and Expert opinion. The most cited publications focus on Computational biology but sometimes tackle the closely related topic of Combinatorial chemistry which is concerned with Organic chemistry.

What topics the last edition of the journal is best known for?

  • Gene
  • Internal medicine
  • Enzyme

The previous edition focused in particular on these issues:

The journal mainly deals with areas of study such as Drug discovery, Drug, Computational biology, Cancer research and Coronavirus disease 2019 (COVID-19). The journal features research on Drug discovery in an attempt to reinforce studies in the field of Bioinformatics. The studies on Drug discussed can also contribute to research in the domains of Schizophrenia (object-oriented programming), Pharmacokinetics, Peptide and Intensive care medicine.

The featured Pharmacokinetics studies mainly concentrate on In vivo but also cover areas of interest in Pharmacology. Computational biology research featured in the journal incorporates concerns from various other topics such as Peptide drug and Molecular targets. The journal explores topics in Cancer research which can be helpful for research in disciplines like Cancer and Immune system.

The most cited articles from the last journal are:

  • Automated patch clamp in drug discovery: major breakthroughs and innovation in the last decade. (16 citations)
  • Artificial intelligence in drug discovery: recent advances and future perspectives. (10 citations)
  • Metallo therapeutics for COVID-19. Exploiting metal-based compounds for the discovery of new antiviral drugs. (9 citations)

Papers citation over time

A key indicator for each journal is its effectiveness in reaching other researchers with the papers published at that venue.

The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.

The top authors publishing in Expert Opinion on Drug Discovery (based on the number of publications) are:

  • Jürgen Bajorath (11 papers) published 1 paper at the last edition,
  • David R. Janero (10 papers) published 1 paper at the last edition,
  • Claudiu T. Supuran (9 papers) published 1 paper at the last edition, 1 less than at the previous edition,
  • Anna Tsantili-Kakoulidou (8 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Kunal Roy (8 papers) published 1 paper at the last edition.

The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.

Only papers with recognized affiliations are considered

The top affiliations publishing in Expert Opinion on Drug Discovery (based on the number of publications) are:

  • Pfizer (26 papers) published 2 papers at the last edition, 1 more than at the previous edition,
  • National Institutes of Health (22 papers) published 3 papers at the last edition,
  • Harvard University (22 papers) published 3 papers at the last edition, 2 more than at the previous edition,
  • Novartis (19 papers) published 1 paper at the last edition,
  • GlaxoSmithKline (18 papers) absent at the last edition.

The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.

The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.

During the most recent 2021 edition, 4.76% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 15.00% were posted by at least one author from the top 10 institutions publishing in the journal. Another 9.17% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 17.50% of all publications and 58.33% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal from year to year.

The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the journal in relation to all participants in a given year.

Returning Institution Index

The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.

The experience to innovation index

Our experience to innovation index was created to show a cross-section of the experience level of authors publishing in a journal. The index includes the authors publishing at the last edition of a journal, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).

The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:

  • Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
  • Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
  • Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
  • Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
  • Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

Education and Field Gap

It is important to note that while contributing to the growth and advancement of this field through research and experimentation is crucial, having a solid foundation in the principles and theories of nursing and healthcare can be equally significant. Various universities and institutions offer programs and degrees that provide extensive training and education in these areas. For instance, if you are specifically interested in nursing, the top 10 best nursing schools in Colorado can provide you with a wide range of programs and courses that align with your interests and future goals. Having a strong educational background can certainly boost your understanding and handling of the complex issues discussed in journals like The Expert Opinion on Drug Discovery. Research skills are vital in the healthcare industry, but so is a strong foundation and understanding of the field in general. A good educational program can provide you with both. As such, we highly recommend students and professionals to consider continuing education in their related fields to bolster their knowledge and stay ahead in their respective fields. Even for those already established in their careers, opportunities like these can provide additional insight and growth opportunities.

Top Publications

  • Challenges identifying efficacious miRNA therapeutics for cancer

    Meirav Segal;Frank J Slack

    (2020)
    159 Citations
  • An overview of rational design of mRNA-based therapeutics and vaccines.

    Kenneth K W To;William C S Cho

    (2021)
    64 Citations
  • Automated patch clamp in drug discovery: major breakthroughs and innovation in the last decade.

    Alison Obergrussberger;Søren Friis;Andrea Brüggemann;Niels Fertig

    (2021)
    51 Citations
  • Current models of pulmonary fibrosis for future drug discovery efforts

    Toyoshi Yanagihara;Toyoshi Yanagihara;Sy Giin Chong;Megan Vierhout;Jeremy A Hirota

    (2020)
    48 Citations
  • Advances in the discovery of microRNA-based anticancer therapeutics: latest tools and developments.

    Kenneth K W To;Winnie Fong;Christy W S Tong;Mingxia Wu

    (2020)
    47 Citations
  • Applications of fluorine to the construction of bioisosteric elements for the purposes of novel drug discovery.

    Paul Richardson

    (2021)
    40 Citations
  • Advances in nanotechnology-based platforms for survivin-targeted drug discovery

    (2022)
    27 Citations
  • Opportunities and challenges for drug discovery in modulating Adhesion G protein-coupled receptor (GPCR) functions.

    Andrey D Bondarev;Andrey D Bondarev;Misty M Attwood;Jörgen Jonsson;Vladimir N Chubarev

    (2020)
    25 Citations
  • Advances in mRNA-based drug discovery in cancer immunotherapy.

    Claudia Augusta Di Trani;Myriam Fernandez-Sendin;Assunta Cirella;Aina Segués;Aina Segués

    (2021)
    23 Citations
  • Drug discovery strategies for modulating oxidative stress in gastrointestinal disorders

    Taraneh Mousavi;Nastaran Hadizadeh;Shekoufeh Nikfar;Mohammad Abdollahi

    (2020)
    23 Citations

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Best Scientists Contributing to This Journal