Kimio Tomita

14.3k citations
192 papers · 11.3k indexed · 1 hit paper · h-index 46
Topics
Ion Transport and Channel Regulation (63 papers)Electrolyte and hormonal disorders (45 papers)Hormonal Regulation and Hypertension (25 papers)
Partner nations
JapanUnited StatesIndia

In The Last Decade

Kimio Tomita

183 papers receiving 11.1k citations

Hit Papers

Revised Equations for Estimated GFR From Serum Creatinine...2009202620142020200910002.0k3.0k4.0k5.0k

Peers

Kimio Tomita
Comparison fields: 5 of 139
  • Molecular Biology 3.5k
  • Nephrology 3.2k
  • Cardiology and Cardiovascular Medicine 2.7k
  • Pulmonary and Respiratory Medicine 2.3k
  • Physiology 1.7k
Replace David G. Warnock with:
David G. Warnock United States
Saulo Klahr United States
Marta Ruiz‐Ortega Spain
Iekuni Ichikawa United States
Mitsuo Iida Japan
Enyu Imai Japan
Berthold Hocher Germany
Lance D. Dworkin United States
Yoshinari Yasuda Japan
L. Lee Hamm United States
Kimio Tomita relative to David G. Warnock United States David G. Warnock's profile →
Citations per field
00.5×1.5×
David G. Warnock · 1×
Citations per year

Countries citing papers authored by Kimio Tomita

Since Specialization
Citations

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

Fields of papers citing papers by Kimio Tomita

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kimio Tomita

This figure shows the co-authorship network connecting the top 25 collaborators of Kimio Tomita. A scholar is included among the top collaborators of Kimio Tomita 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 Kimio Tomita. Kimio Tomita 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 46
2 21
3 33
4 11
5 13
6 25
7 0
8
[Molecular mechanism in biological transport in the kidney: Na+/K(+)-ATPase].
1
9 3
10 87
11 9
12 39
13 7
14 19
15 108
16 4
17 69
18 162
19 21
20 94

About Kimio Tomita

Kimio Tomita is a scholar working on Nephrology, Pulmonary and Respiratory Medicine and Endocrinology, Diabetes and Metabolism, having authored 192 papers that have together received 11.3k indexed citations. Recurring topics across this work include Ion Transport and Channel Regulation (63 papers), Electrolyte and hormonal disorders (45 papers) and Hormonal Regulation and Hypertension (25 papers). The work is most often cited by research in Nephrology (3.2k citations), Cardiology and Cardiovascular Medicine (2.7k citations) and Endocrinology, Diabetes and Metabolism (1.6k citations). Kimio Tomita has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Seiichi Matsuo, Kunihiro Yamagata, Hitoshi Yokoyama, Kosaku Nitta, Masaru Horio, Akira Hishida, Yoshinari Yasuda, Enyu Imai, Yasuhiko Tomino and Hiroshi Nonoguchi. Their work appears in journals such as The Lancet, Journal of Biological Chemistry and Circulation.

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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