| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Biology and Biochemistry | 389 | 74 | 72 | 16 |
| Chemistry | 517 | 47 | 66 | 15 |
The journal investigates areas of study like Biochemistry, Amino acid, Internal medicine, Endocrinology and Proteomics. It explores research in Biochemistry and the adjacent study of Cell biology. Amino acid research featured in Amino Acids incorporates concerns from various other topics such as Chromatography, Organic chemistry and Stereochemistry.
Amino Acids explores issues in Internal medicine which can be linked to other research areas like Leucine and Taurine. Oxidative stress and Skeletal muscle are among the concentrations of Endocrinology that garnered much attention in it. Many of the studies tackled connect Proteomics with a similar field of study like Computational biology.
The journal focuses on Peptide research which is adjacent to topics in Peptide sequence.
The journal publications are mainly concerned with subjects like Biochemistry, Internal medicine, Endocrinology, Amino acid and Proteomics. Most of the works presented in the journal publications deal with Biochemistry but they intersect with the subject of Cell biology. The journal publications explore topics in Amino acid which can be helpful for research in disciplines like Chromatography, Stereochemistry and Peptide.
The scientific interests tackled in the journal are Amino acid, Internal medicine, Endocrinology, Biochemistry and Proteomics. The journal holds forums on Amino acid that merges themes from other disciplines such as Food science, Stereochemistry and Metabolism. Amino Acids explores topics in Internal medicine which can be helpful for research in disciplines like Glutamine and Transporter.
Glycine and Taurine are some topics wherein Endocrinology research discussed in it have an impact. It features Biochemistry research that overlaps with concepts in Antimicrobial. While work presented in it provided substantial information on Arginine, it also covered topics in Leucine, Putrescine and Bioinformatics.
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 Amino Acids (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 Amino Acids (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, 3.47% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 17.37% were posted by at least one author from the top 10 institutions publishing in the journal. Another 4.79% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 9.58% of all publications and 68.26% 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.
While this journal is mainly focused on academic research concerning amino acids, it's worth noting that the topics and areas outlined here also have vast implications in many practical fields. Medical billing and coding, for instance, is a profession that often requires deep knowledge and understanding of biochemistry, protein structure, and internal medicine. As amino acid research is a frequently discussed subject, professionals or aspiring students in this field might find the presented studies beneficial.
Medical billers and coders particularly in South Dakota could take advantage of the research studies presented in this journal to improve their understanding of biochemistry, endocrinology, and other related topics, which could potentially enhance their career prospects. Moreover, knowing the average salary for medical biller in South Dakota could also be of interest to those considering this profession.
This practical approach applied to the academic research conducted serves to bridge the gap between research academia and the professional world, making the knowledge more accessible and useful beyond just the scientific community. Furthermore, it encourages a multi-disciplinary approach to learning and professional work, something that could substantially benefit various related fields.
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(2022)Pengyu Geng;Wangshu Qin;Guowang Xu
(2021)Mario Estévez;Silvia Díaz-Velasco;Remigio Martínez
(2021)Raphael N Vuille-Dit-Bille;Raphael N Vuille-Dit-Bille;Kenneth W Liechty;François Verrey;Laura C Guglielmetti
(2020)Zizhen Yin;Wenfei Hu;Wei Zhang;Hiroyuki Konno
(2020)Péter Gulyássy;Gina Puska;Gina Puska;Gina Puska;Balázs A. Györffy;Katalin Todorov-Völgyi;Katalin Todorov-Völgyi
(2020)Mbuso Faya;Heba A Hazzah;Calvin A Omolo;Calvin A Omolo;Nikhi Agrawal
(2020)François Blachier;Anne Blais;Rajavel Elango;Kuniaki Saito
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