| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Chemistry | 378 | 399 | 524 | 20 |
The journal investigates studies in Organic chemistry, Stereochemistry, Medicinal chemistry, Catalysis and Combinatorial chemistry. Yield (chemistry), Reagent, Aliphatic compound, Bicyclic molecule and Aryl are Organic chemistry topics of special interest in the journal. The research on Stereochemistry tackled can also make contributions to studies in the areas of Ring (chemistry), Enantioselective synthesis and Stereoselectivity.
The research on Catalysis discussed in Tetrahedron Letters draws on the closely related field of Polymer chemistry.
The journal papers facilitate discussions on Organic chemistry, Catalysis, Stereochemistry, Medicinal chemistry and Combinatorial chemistry. Most of the Catalysis studies addressed in the most cited publications also intersect with Polymer chemistry. While the journal articles focused on Stereochemistry, they were also able to explore topics like Ring (chemistry) and Stereoselectivity.
The primary areas of discussion in Tetrahedron Letters are Combinatorial chemistry, Catalysis, Medicinal chemistry, Stereochemistry and Organic chemistry. Combinatorial chemistry research presented in it encompasses a variety of subjects, including Yield (chemistry), Reagent, Functional group, Moiety and Reaction conditions. Topics in Catalysis were tackled in line with various other fields like Aryl and Substrate (chemistry).
The featured Aryl research is covered under the field of Alkyl. The studies on Medicinal chemistry discussed can also contribute to research in the domains of Intramolecular force and Ring (chemistry). Stereochemistry research is concerned with Total synthesis in particular.
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 Tetrahedron Letters (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 Tetrahedron Letters (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, 7.63% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 10.32% were posted by at least one author from the top 10 institutions publishing in the journal. Another 3.94% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 5.63% of all publications and 80.11% 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.
Satoshi Muratsugu;Sora Shirai;Mizuki Tada
(2020)Yuki Naganawa;Koya Inomata;Kazuhiko Sato;Yumiko Nakajima
(2020)Arun K. Ghosh;Dana Shahabi
(2021)Zhengyuan Xin;Hui Wang;Haibing He;Shuanhu Gao
(2021)Atsushi Tahara;Hideo Nagashima
(2020)Shaik Shahinshavali;Kazi Amirul Hossain;Abbaraju Venkata Durga Nagendra Kumar;Alugubelli Gopi Reddy
(2020)Pierre Milbeo;François Quintin;Laure Moulat;Claude Didierjean
(2021)Wenjing Bai;Jianxin Ji;Qiang Huang;Wei Wei
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