1570-1808
Published by: Bentham Science
https://benthamscience.com/journals/letters-in-drug-design-and-discovery/
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Chemistry | 834 | 44 | 59 | 7 |
The journal mainly tackles studies in Combinatorial chemistry, Stereochemistry, Biochemistry, Pharmacology and Organic chemistry. The journal holds forums on Combinatorial chemistry that merges themes from other disciplines such as Design synthesis, Biological evaluation, In vitro and Antimicrobial. Quantitative structure–activity relationship and Docking (molecular) are all topics related to Stereochemistry research discussed.
The most cited papers investigate studies in Stereochemistry, Combinatorial chemistry, Pharmacology, Biochemistry and In vitro. The most cited papers address concerns in the field of Stereochemistry by exploring it in line with topics in Cytotoxic T cell which intersect with Cytotoxicity subjects. While work presented in the published papers provide substantial information on Combinatorial chemistry, it also covers topics in Antibacterial activity, Antimicrobial, Oxadiazole, Pyrazole and Biological evaluation.
The journal generally zeroes in on subjects such as Combinatorial chemistry, In silico, Computational biology, Biochemistry and Drug. Combinatorial chemistry research presented in Letters in Drug Design & Discovery encompasses a variety of subjects, including Pharmacophore, Design synthesis and Quantitative structure–activity relationship. Topics in Design synthesis explored in it were investigated in conjunction with research in Biological evaluation and Stereochemistry.
The study on Stereochemistry presented in the journal intersects with the topics under Inhibitory postsynaptic potential. The journal facilitates discussions on Computational biology that incorporate concepts from other fields like Virtual screening, Docking (molecular), Identification (biology), Drug repositioning and Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The Biochemistry study featured in the journal draws parallels with the field of Antimicrobial.
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 Letters in Drug Design & Discovery (based on the number of publications) are:
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 Letters in Drug Design & Discovery (based on the number of publications) are:
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.
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, 15.32% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 13.33% were posted by at least one author from the top 10 institutions publishing in the journal. Another 3.81% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 14.29% of all publications and 68.57% were from other institutions.
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.
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.
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:
The chart below illustrates experience levels of first authors in cases of publications with multiple authors.
Cem Yamali;Halise Inci Gul;Tahir Cakir;Yeliz Demir
(2020)Mehtap Tugrak;Halise Inci Gul;Hulya Akincioglu;Ilhami Gulcin
(2021)Sara Azimi;Omidreza Firuzi;Aida Iraji;Afsaneh Zonouzi
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