Tomoyuki Nishida
- Endocrinology, Diabetes and Metabolism top 2%
- Molecular Biology
- Pharmacology top 5%
- Surgery
- Physiology
- Co-authors
- Kohei KakuYutaka SeinoJeppe ZachoToshimasa YamauchiTakashi KadowakiSoo LimUsman KhalidWataru Ogawa
- Topics
- Diabetes Treatment and Management (25 papers)Diabetes Management and Research (21 papers)Metabolism, Diabetes, and Cancer (12 papers)
- Partner nations
- JapanDenmarkUnited Kingdom
In The Last Decade
Tomoyuki Nishida
25 papers receiving 708 citations
Hit Papers
Peers
Comparison fields: 5 of 51
- Endocrinology, Diabetes and Metabolism 672
- Molecular Biology 324
- Pharmacology 187
- Surgery 173
- Physiology 86
Countries citing papers authored by Tomoyuki Nishida
This map shows the geographic impact of Tomoyuki Nishida's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Tomoyuki Nishida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomoyuki Nishida more than expected).
Fields of papers citing papers by Tomoyuki Nishida
This network shows the impact of papers produced by Tomoyuki Nishida. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Tomoyuki Nishida. The network helps show where Tomoyuki Nishida may publish in the future.
Co-authorship network of co-authors of Tomoyuki Nishida
This figure shows the co-authorship network connecting the top 25 collaborators of Tomoyuki Nishida. A scholar is included among the top collaborators of Tomoyuki Nishida based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tomoyuki Nishida. Tomoyuki Nishida is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 6 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 3 | |
| 7 | Weekly Icodec versus Daily Glargine U100 in Type 2 Diabetes without Previous Insulinbreakdown → | 91 |
| 8 | Semaglutide once a week in adults with overweight or obesity, with or without type 2 diabetes in an east Asian population (STEP 6): a randomised, double-blind, double-dummy, placebo-controlled, phase 3a trialbreakdown → | 205 |
| 9 | 2 | |
| 10 | 14 | |
| 11 | 8 | |
| 12 | 91 | |
| 13 | 23 | |
| 14 | 88 | |
| 15 | 1 | |
| 16 | 4 | |
| 17 | 13 | |
| 18 | 30 | |
| 19 | 37 | |
| 20 | 4 |
About Tomoyuki Nishida
Tomoyuki Nishida is a scholar working on Endocrinology, Diabetes and Metabolism, Pharmacology and Surgery, having authored 26 papers that have together received 723 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (25 papers), Diabetes Management and Research (21 papers) and Metabolism, Diabetes, and Cancer (12 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (672 citations), Pharmacology (187 citations) and Molecular Biology (324 citations). Tomoyuki Nishida has collaborated with scholars based in Japan, Denmark and United Kingdom. Frequent co-authors include Kohei Kaku, Yutaka Seino, Jeppe Zacho, Toshimasa Yamauchi, Takashi Kadowaki, Soo Lim, Usman Khalid, Wataru Ogawa, Joakim Isendahl and Sang Yeoup Lee. Their work appears in journals such as New England Journal of Medicine, Diabetologia and The Lancet Diabetes & Endocrinology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.