1347-4367
Published by: Elsevier
https://www.journals.elsevier.com/drug-metabolism-and-pharmacokinetics
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Chemistry | 779 | 34 | 65 | 8 |
| Medicine | 2922 | 45 | 71 | 6 |
The scientific interests tackled in the journal are Pharmacology, Pharmacokinetics, Internal medicine, Biochemistry and Endocrinology. While work presented in it provided substantial information on Pharmacology, it also covered topics in Metabolite, In vivo and Metabolism. Pharmacodynamics is a focus of the presented Pharmacokinetics works and it dives deep in Pharmacodynamics.
Cmax and Dosing are all subfields of Internal medicine research that were featured in it. Enzyme, Microsome, Transporter, Cytochrome P450 and In vitro are all areas of Biochemistry tackled in Drug Metabolism and Pharmacokinetics. It aims to address concerns in Endocrinology, specifically in the areas of Excretion and Kidney.
While the journal focused on Excretion, it was also able to explore topics like Absorption (skin), Urine and Distribution (pharmacology). It features Urine research that overlaps with concepts in Feces.
The most cited papers mainly deal with areas of study such as Pharmacology, Biochemistry, Pharmacokinetics, Molecular biology and Drug. The works on Pharmacology tackled in the published papers bring together disciplines like Transporter, CYP3A4, Microsome, CYP3A and In vivo. The journal publications encompass Pharmacokinetics studies in the context of Internal medicine as a whole.
The journal investigates areas of study like Pharmacology, Pharmacokinetics, Computational biology, Drug and Internal medicine. Topics in Pharmacology explored in Drug Metabolism and Pharmacokinetics were investigated in conjunction with research in Organic anion transporter 1, Microsome and CYP3A4. It addresses concerns in Pharmacokinetics which are intertwined with other disciplines, such as Oral administration, Bioavailability and Urology.
The studies in Computational biology featured incorporate elements of Pharmacogenomics, Regioselectivity, Gene, Biomarker (medicine) and DECIPHER. The subject of In vivo, which is connected to the field of Transplantation, Liver injury, Developmental toxicity, Fetus and CYP1A2, serves as the foundation of the Drug research featured in the journal. The studies on Internal medicine discussed can also contribute to research in the domains of Endocrinology, Single-nucleotide polymorphism and Type 2 diabetes.
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 Drug Metabolism and Pharmacokinetics (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 Drug Metabolism and Pharmacokinetics (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, 6.45% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 39.66% were posted by at least one author from the top 10 institutions publishing in the journal. Another 18.97% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 17.24% of all publications and 24.14% 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.
Kotaro Omori;Masanori Tachikawa;Masanori Tachikawa;Shirou Hirose;Ayaka Taii
(2020)Shotaro Uehara;Yuichiro Higuchi;Nao Yoneda;Kenji Kawai
(2022)Tatsuki Mochizuki;Tadahaya Mizuno;Kazuya Maeda;Hiroyuki Kusuhara
(2021)Xiaoyun Liu;Dan Feng;Mingyue Zheng;Yongmei Cui
(2020)Supusson Pengnam;Samarwadee Plianwong;Boon-ek Yingyongnarongkul;Prasopchai Patrojanasophon
(2021)Yuki Yamaguchi;Takeshi Akiyoshi;Go Kawamura;Ayuko Imaoka
(2021)Sungbo Hwang;Hyun Kil Shin;Seong Eun Shin;Myungwon Seo
(2020)Hyun Jin Kim;Ahram Kim;Kanjiro Miyata
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