Takashi Tsukamoto

8.0k citations
123 papers · 6.1k indexed · 2 hit papers · h-index 39
Topics
Amino Acid Enzymes and Metabolism (22 papers)Neuropeptides and Animal Physiology (19 papers)Chemical Synthesis and Analysis (15 papers)

In The Last Decade

Takashi Tsukamoto

116 papers receiving 6.0k citations

Hit Papers

Glucose-Independent Glutamine Metabolism via TCA Cycling ...201220262016202120122012250500750

Peers

Takashi Tsukamoto
Comparison fields: 5 of 150
  • Molecular Biology 3.4k
  • Cancer Research 2.3k
  • Biochemistry 811
  • Oncology 808
  • Cellular and Molecular Neuroscience 671
Replace Christian Jacobsen with:
Christian Jacobsen Denmark
Thales Papagiannakopoulos United States
Seth J. Parker United States
Natalya N. Pavlova United States
Johanna Chiche France
Zachary E. Stine United States
Marianne Koritzinsky Canada
Jacques Pouysségur France
Haoqiang Ying United States
David Mu United States
Takashi Tsukamoto relative to Christian Jacobsen Denmark Christian Jacobsen's profile →
Citations per field
00.5×
Christian Jacobsen · 1×
Citations per year

Countries citing papers authored by Takashi Tsukamoto

Since Specialization
Citations

This map shows the geographic impact of Takashi Tsukamoto'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 Takashi Tsukamoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takashi Tsukamoto more than expected).

Fields of papers citing papers by Takashi Tsukamoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Takashi Tsukamoto. 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 Takashi Tsukamoto. The network helps show where Takashi Tsukamoto may publish in the future.

Co-authorship network of co-authors of Takashi Tsukamoto

This figure shows the co-authorship network connecting the top 25 collaborators of Takashi Tsukamoto. A scholar is included among the top collaborators of Takashi Tsukamoto 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 Takashi Tsukamoto. Takashi Tsukamoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 2
4 2
5 18
6 12
7 6
8 35
9 20
10 121
11
Glucose-Independent Glutamine Metabolism via TCA Cycling for Proliferation and Survival in B Cellsbreakdown →
886
12 7
13 69
14 410
15 22
16 72
17 47
18 23
19 4
20 40

About Takashi Tsukamoto

Takashi Tsukamoto is a scholar working on Biological Psychiatry, Biochemistry and Pharmaceutical Science, having authored 123 papers that have together received 6.1k indexed citations. Recurring topics across this work include Amino Acid Enzymes and Metabolism (22 papers), Neuropeptides and Animal Physiology (19 papers) and Chemical Synthesis and Analysis (15 papers). The work is most often cited by research in Cancer Research (2.3k citations), Biochemistry (811 citations) and Biological Psychiatry (196 citations). Takashi Tsukamoto has collaborated with scholars based in United States, Japan and Czechia. Frequent co-authors include Barbara S. Slusher, Dana Ferraris, Camilo Rojas, Chi V. Dang, Ajit G. Thomas, Pavel Majer, Teresa W.‐M. Fan, Richard M. Higashi, Krystyna M. Wozniak and Anne Le. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and The EMBO Journal.

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.

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