Current Proteomics

Top Research Topics at Current Proteomics?

The journal tackles a plethora of topics, such as Computational biology, Proteomics, Biochemistry, Cell biology and Chromatography. It focuses on Computational biology but the discussions also offer insight into other areas such as In silico and Identification (biology). Topics in Proteomics were tackled in line with various other fields like Proteome and Bioinformatics.

Chromatography research is concerned with Mass spectrometry in particular.

• Computational biology (21.78%)
• Proteomics (17.82%)
• Biochemistry (14.03%)

What are the most cited papers published in the journal?

• Pseudo Amino Acid Composition and its Applications in Bioinformatics, Proteomics and System Biology (355 citations)
• Recent Advances in Controlled Immobilization of Proteins onto the Surface of the Solid Substrate and Its Possible Application to Proteomics (94 citations)
• Protein Folds Prediction with Hierarchical Structured SVM (91 citations)

Research areas of the most cited articles at Current Proteomics:

The published articles mainly tackle studies in Computational biology, Proteomics, Proteome, Bioinformatics and Artificial intelligence. While Computational biology is the focus of the most cited publications, it also provides insights into the studies of Characterization (materials science) and Identification (biology). Issues in Proteomics were discussed in the published papers, taking into consideration concepts from other disciplines like Plant microbe, Botany and Laser capture microdissection.

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

• Gene
• Enzyme
• Biochemistry

The previous edition focused in particular on these issues:

The journal investigates studies in Biochemistry, Computational biology, In silico, Proteomics and Virology. The presented Biochemistry study covers related areas such as RNA, Molecular cloning and Metabolism study and also touches on topics like Pectin lyase. Computational biology research presented in it encompasses a variety of subjects, including RNA-Seq and Agave.

The research on In silico tackled can also make contributions to studies in the areas of Functional analysis, Secretion, Host (biology), Bacillus (shape) and Signal peptide. It addresses concerns in Proteomics which are intertwined with other disciplines, such as Fragment (logic) and Colorectal cancer, Oxaliplatin. Issues in Virology were discussed, taking into consideration concepts from other disciplines like Human papillomavirus, Multi epitope, Peptide vaccine and Reverse vaccinology.

The most cited articles from the last journal are:

• Proteomic Analysis of the Vitreous Body in Proliferative and Non-Proliferative Diabetic Retinopathy (3 citations)
• Designing a Novel Multi-Epitope Vaccine against HTLV-1 Related Adult T-Cell Leukemia/Lymphoma: An In Silico Approach (2 citations)
• Isolation, Identification and In Silico Study of Native Cellulase Producing Bacteria (2 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.

Top authors and change over time

The top authors publishing in Current Proteomics (based on the number of publications) are:

• Younes Ghasemi (9 papers) published 1 paper at the last edition, 4 less than at the previous edition,
• Navid Nezafat (9 papers) absent at the last edition,
• Hookeun Lee (5 papers) published 2 papers at the last edition,
• Manica Negahdaripour (5 papers) absent at the last edition,
• Jong-Moon Park (5 papers) published 2 papers 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.

Top affiliations and change over time

Only papers with recognized affiliations are considered

The top affiliations publishing in Current Proteomics (based on the number of publications) are:

• Shiraz University of Medical Sciences (16 papers) published 5 papers at the last edition, 4 less than at the previous edition,
• Graduate University of Advanced Technology (7 papers) published 2 papers at the last edition, 3 less than at the previous edition,
• Tianjin University (7 papers) published 1 paper at the last edition, 3 less than at the previous edition,
• Shanghai Maritime University (6 papers) published 1 paper at the last edition, 1 less than at the previous edition,
• King Saud University (4 papers) published 2 papers at the last edition the same number as at the previous 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, 1.67% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 27.12% were posted by at least one author from the top 10 institutions publishing in the journal. Another 10.17% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 20.34% of all publications and 42.37% 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.

Exploring Opportunities in Proteomics - Future Perspective

The fascinating landscape of Proteomics is continuously revealing exciting opportunities for researchers, clinicians and students interested in this field. While the current research areas and findings published in this journal are comprehensive, we believe it is also essential to cast light on potential future research topics, latest advancements and new techniques that may drive the Proteomics field forward. In this context, several bioinformatics tools and algorithms are being developed for large-scale analysis of proteomic data. Advanced analytic strategies like machine learning and artificial intelligence are being utilized to interpret complex proteomic signatures. The concept of precision medicine, tailoring medical treatment based on individual genetic make-up is surely going to revolutionize proteomics. In addition, several universities and institutions are offering specialized courses and research opportunities in Proteomics which can be a valuable resource for interested readers. If you are considering furthering your education, the medical assistant school in Louisiana offers one of the best programs in this area. It provides knowledge, skill and opportunity to deepen your comprehension of Proteomics and its potential applications. Stay tuned to our future editions as we continue to explore, track and discuss these trends and advancements in the field of Proteomics.