Toshio Nishikimi

191 papers receiving 8.1k citations

Hit Papers

Plasma Brain Natriuretic Peptide as a Prognostic Indicato...20002026200820172000200400600

Peers

Toshio Nishikimi
Comparison fields: 5 of 119
  • Cardiology and Cardiovascular Medicine 4.6k
  • Molecular Biology 2.8k
  • Cellular and Molecular Neuroscience 2.4k
  • Pulmonary and Respiratory Medicine 1.9k
  • Surgery 1.1k
Replace Masakazu Kohno with:
Masakazu Kohno Japan
Stephen G. Ball United Kingdom
Michihisa Jougasaki Japan
Anders Franco‐Cereceda Sweden
Tanenao Eto Japan
Fumiki Yoshihara Japan
Gotaro Shirakami Japan
Denise M. Heublein United States
U. Muscha Steckelings Germany
Jo G. R. De Mey Netherlands
Toshio Nishikimi relative to Masakazu Kohno Japan Masakazu Kohno's profile →
Citations per field
00.5×1.5×2.4×
Masakazu Kohno · 1×
Citations per year

Countries citing papers authored by Toshio Nishikimi

Since Specialization
Citations

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

Fields of papers citing papers by Toshio Nishikimi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Toshio Nishikimi

This figure shows the co-authorship network connecting the top 25 collaborators of Toshio Nishikimi. A scholar is included among the top collaborators of Toshio Nishikimi 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 Toshio Nishikimi. Toshio Nishikimi 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 16
2 2
3 50
4 24
5
OE-136 Prognostic Value of Combination of Adrenomedullin and Brain Natriuretic Peptide in Patients with Stable Cardiovasculer Disease(OE23,Heart Failure (Pathophysiology) (M),Oral Presentation (English),The 73rd Annual Scientific Meeting of The Japanese Circulation Society)
8
6 7
7 25
8 390
9 33
10 4
11 3
12 59
13 40
14 5
15 11
16 151
17 56
18 25
19 10
20 30

About Toshio Nishikimi

Toshio Nishikimi is a scholar working on Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience and Endocrinology, Diabetes and Metabolism, having authored 197 papers that have together received 8.4k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (78 papers), Heart Failure Treatment and Management (60 papers) and Receptor Mechanisms and Signaling (53 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (4.6k citations), Cellular and Molecular Neuroscience (2.4k citations) and Endocrinology, Diabetes and Metabolism (1.1k citations). Toshio Nishikimi has collaborated with scholars based in Japan, United States and Norway. Frequent co-authors include Kenji Kangawa, Hisayuki Matsuo, Hiroaki Matsuoka, Fumiki Yoshihara, Noritoshi Nagaya, Takeshi Horio, Shuichi Takishita, Koichiro Kuwahara, Toshihiko Ishimitsu and Yasuaki Nakagawa. Their work appears in journals such as Proceedings of the National Academy of Sciences, Circulation and Journal of Clinical Investigation.

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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