Tomohiro Nakayama

4.9k citations
223 papers · 3.6k indexed · h-index 30

Tomohiro Nakayama

211 papers receiving 3.5k citations

Peers

Tomohiro Nakayama
Comparison fields: 5 of 140
  • Endocrinology, Diabetes and Metabolism 766
  • Biochemistry 286
  • Cardiology and Cardiovascular Medicine 880
  • Pharmacology 173
  • Clinical Biochemistry 129
Replace Cheng Zhang with:
Cheng Zhang China
Masayoshi Soma Japan
Robert D. Shamburek United States
Michael M. Hoffmann Germany
Jaye Chin‐Dusting Australia
Cheng Hu China
Xue Qin China
Tomoya Yamashita Japan
Martin Hersberger Switzerland
Zuyi Yuan China
Tomohiro Nakayama relative to Cheng Zhang China Cheng Zhang's profile →
Citations per field
00.5×1.5×1.9×
Cheng Zhang · 1×
Citations per year

Countries citing papers authored by Tomohiro Nakayama

Since Specialization
Citations

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

Fields of papers citing papers by Tomohiro Nakayama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Tomohiro Nakayama, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tomohiro Nakayama Line = papers co-authored together Tomohiro Nakayama links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20240
3 20241
4 20241
5 20231
6 20230
7 20212
8 20198
9 201621
10
[Genetic factors of hypertension].
20132
11 201311
12 20125
13 20127
14 201129
15 201011
16 200913
17 200923
18
Isolation of the 5'-flanking region of genes by thermal asymmetric interlaced polymerase chain reaction.
200158
19
[Current status and future prospect of prostacyclin therapy for pulmonary hypertension--intravenous, subcutaneous, inhaled and oral PGI2 derivatives].
20013
20
Gastrointestinal absorption of recombinant human insulin-like growth factor-I in rats
19962

About Tomohiro Nakayama

Tomohiro Nakayama is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Biochemistry, having authored 223 papers that have together received 3.6k indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (30 papers), Renin-Angiotensin System Studies (20 papers), Eicosanoids and Hypertension Pharmacology (15 papers), Pharmacogenetics and Drug Metabolism (11 papers), Heart Failure Treatment and Management (10 papers), Diabetes Treatment and Management (10 papers), Blood Pressure and Hypertension Studies (10 papers) and Liver Disease Diagnosis and Treatment (10 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (766 citations), Biochemistry (286 citations) and Cardiology and Cardiovascular Medicine (880 citations). Tomohiro Nakayama has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Masayoshi Soma, Zhaoxia Wang, Katsuo Kanmatsuse, Naoyuki Sato, Sachio Tsuchida, Yoichi Izumi, Mikano Sato, Satoshi Asai, Noriko Aoi and Masanori Shimodaira. Their work appears in journals such as SHILAP Revista de lepidopterología, Gastroenterology and PLoS ONE.

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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