| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Biology and Biochemistry | 311 | 63 | 76 | 20 |
The primary areas of discussion in the journal are Proteomics, Computational biology, Bioinformatics, Proteome and Disease. Issues in Proteomics were discussed, taking into consideration concepts from other disciplines like Biomarker (medicine), Cancer, Mass spectrometry and Cell biology. Expert Review of Proteomics explores studies in Mass spectrometry as part of the wider topic of Chromatography.
Signal transduction is the primary subject of Cell biology works presented in Expert Review of Proteomics. Some problems in Computational biology that were presented in the journal overlapped with concepts under Proteomics methods, Quantitative proteomics, Identification (biology) and Genomics. It focuses on Bioinformatics but the discussions also offer insight into other areas such as Data science and Biomarker (cell).
The journal explores research in Disease and the adjacent study of Immunology.
The published articles primarily focus on research topics in Proteomics, Computational biology, Bioinformatics, Proteome and Mass spectrometry. The most cited papers explore issues in Proteomics which can be linked to other research areas like Biomarker (medicine) and Cell biology. Issues in Bioinformatics were discussed in the most cited articles, taking into consideration concepts from other disciplines like Cancer, Disease and Protein biomarkers.
Expert Review of Proteomics generally zeroes in on subjects such as Proteomics, Computational biology, Proteome, Biomarker (medicine) and Disease. The work on Proteomics tackled in it brings together disciplines like Pathological, Cytokine, Kidney disease and Bioinformatics, Drug discovery. In the journal, Proteogenomics, Proteomic Profiling, Phosphoproteomics and Mass spectrometry are investigated in conjunction with one another to address concerns in Computational biology research.
Cell signaling, Ophthalmology, Lens (anatomy) and Extracellular matrix, Cell biology are some topics wherein Proteome research discussed in the journal have an impact. Biomarker (medicine) research presented in the journal encompasses a variety of subjects, including Context (language use), Cancer, Oncology and Metabolomics. Topics in Disease were tackled in line with various other fields like Intensive care medicine, Biomarker discovery, Omics, Glaucoma and Metagenomics.
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 Review of Proteomics (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 Expert Review of Proteomics (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, 8.06% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 1.75% were posted by at least one author from the top 10 institutions publishing in the journal. Another 17.54% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 14.04% of all publications and 66.67% 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.
Driven by the rapidly expanding field of Proteomics, many individuals with a background in biology, chemistry, or related fields are considering a career change. While the shift can be quite rewarding, it requires a strong knowledge base, hands-on skills and continuous learning. The process usually involves obtaining a further degree or certificate in biological sciences, followed by hands-on training in Proteomics techniques like Mass Spectrometry, Bioinformatics, Proteomics data analysis and more.
As per the statistics, the financial prospects for Proteomics professionals are promising. On a related note, a field like Medical Billing and Coding also offers good career growth and salary potential. Particularly, being a medical biller in Montana, you could expect to make a decent living.
The transition to Proteomics can be competitive and challenging, but with the right guidance, perseverance and training, it's definitely attainable. Start by acquiring the necessary knowledge and skills, and before you know it, you could be making groundbreaking contributions to this fascinating field.
Kyle A Brown;Jake A Melby;David S Roberts;Ying Ge
(2020)Leonardo Perez De Souza;Saleh Alseekh;Yariv Brotman;Alisdair R Fernie
(2020)Alain Van Gool;Fernado Corrales;Mirjana Čolović;Danijela Krstić
(2020)Nathan Basisty;Abhijit Kale;Sandip Patel;Judith Campisi;Judith Campisi
(2020)Jimena I. Cid-Uribe;José Ignacio Veytia-Bucheli;Teresa Romero-Gutierrez;Ernesto Ortiz
(2020)Coşkun Güzel;Jenny van Sten-Van't Hoff;Inge M C M de Kok;Natalia I Govorukhina
(2021)Morteza Abyadeh;Vivek Gupta;Nitin Chitranshi;Veer Gupta
(2021)Timo Sorsa;Timo Sorsa;Vaibhav Sahni;Nurcan Buduneli;Shipra Gupta
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