Tatsuki Uemura

440 total citations
30 papers, 288 citations indexed

About

Tatsuki Uemura is a scholar working on Surgery, Critical Care and Intensive Care Medicine and Cell Biology. According to data from OpenAlex, Tatsuki Uemura has authored 30 papers receiving a total of 288 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Surgery, 5 papers in Critical Care and Intensive Care Medicine and 5 papers in Cell Biology. Recurrent topics in Tatsuki Uemura's work include Muscle metabolism and nutrition (4 papers), Sepsis Diagnosis and Treatment (4 papers) and Respiratory Support and Mechanisms (3 papers). Tatsuki Uemura is often cited by papers focused on Muscle metabolism and nutrition (4 papers), Sepsis Diagnosis and Treatment (4 papers) and Respiratory Support and Mechanisms (3 papers). Tatsuki Uemura collaborates with scholars based in Japan, France and United Kingdom. Tatsuki Uemura's co-authors include Akio Kimura, Akiyoshi Hagiwara, Sumio Ohtsuki, Makoto Suematsu, Seiryo Ogata, Yuki Sugiura, Pierre‐Olivier Couraud, Takeshi Masuda, Noriko Tanaka and Tetsuo Nishikawa and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Analytical Chemistry and Biochemistry.

In The Last Decade

Tatsuki Uemura

26 papers receiving 284 citations

Peers

Tatsuki Uemura
Comparison fields: 5 of 84
  • Molecular Biology 90
  • Surgery 42
  • Spectroscopy 40
  • Epidemiology 39
  • Immunology 39
Replace Patrícia Rodrigues with:
Patrícia Rodrigues United Kingdom
Nobuo Sato Japan
Monika Zdanytė Germany
Gesa L. Tiemeier Netherlands
Jean‐Charles Sanchez Switzerland
Raluca Maltesen Denmark
Brian Morrissey Ireland
K. Zayasu Japan
Nora Elisabeth Zois Denmark
Alexander Herner Germany
Patrícia Rodrigues United Kingdom View profile →
Citations per field, relative to Tatsuki Uemura
Tatsuki Uemura · 1×
Citations per year, relative to Tatsuki Uemura
Tatsuki Uemura · 1×

Countries citing papers authored by Tatsuki Uemura

Since Specialization
Citations

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

Fields of papers citing papers by Tatsuki Uemura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tatsuki Uemura

This figure shows the co-authorship network connecting the top 25 collaborators of Tatsuki Uemura. A scholar is included among the top collaborators of Tatsuki Uemura 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 Tatsuki Uemura. Tatsuki Uemura 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
# Work Indexed citations
1 0
2 1
3 0
4 2
5 5
6 1
7 0
8 36
9 7
10 11
11 51
12 4
13 24
14 0
15 27
16 18
17 9
18 7
19 1
20 17

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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