Hitoshi Kohno

6.3k citations
135 papers · 5.2k indexed · h-index 40

Hitoshi Kohno

135 papers receiving 5.0k citations

Peers

Hitoshi Kohno
Comparison fields: 5 of 122
  • Hepatology 1.9k
  • Cancer Research 802
  • Endocrinology, Diabetes and Metabolism 784
  • Surgery 1.5k
  • Gastroenterology 186
Replace Sumio Kawata with:
Sumio Kawata Japan
Fabio Maria Vecchio Italy
Naofumi Nagasue Japan
Hiroyuki Kirikoshi Japan
Kazuhiro Nouso Japan
Romil Saxena United States
Akira Yamanoi Japan
Yury Popov United States
Siegfried Matern Germany
Masaru Harada Japan
Hitoshi Kohno relative to Sumio Kawata Japan Sumio Kawata's profile →
Citations per field
00.5×4.1×
Sumio Kawata · 1×
Citations per year

Countries citing papers authored by Hitoshi Kohno

Since Specialization
Citations

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

Fields of papers citing papers by Hitoshi Kohno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Hitoshi Kohno, 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 Hitoshi Kohno Line = papers co-authored together Hitoshi Kohno links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 200514
2 200442
3 20023
4 200218
5 200239
6 200224
7
The clinicopathological significance of heparanase and basic fibroblast growth factor expressions in hepatocellular carcinoma.
2001173
8 200171
9 200153
10 200055
11 20006
12 200047
13 199992
14 19951
15 19931
16 1993356
17 1992247
18 199163
19 199130
20 19886

About Hitoshi Kohno

Hitoshi Kohno is a scholar working on Hepatology, Endocrinology, Diabetes and Metabolism and Gastroenterology, having authored 135 papers that have together received 5.2k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (34 papers), Growth Hormone and Insulin-like Growth Factors (32 papers), Liver Disease Diagnosis and Treatment (19 papers), Lipid metabolism and disorders (15 papers), Diabetes and associated disorders (13 papers), Gastric Cancer Management and Outcomes (13 papers), Cancer, Lipids, and Metabolism (9 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (8 papers). The work is most often cited by research in Hepatology (1.9k citations), Cancer Research (802 citations) and Endocrinology, Diabetes and Metabolism (784 citations). Hitoshi Kohno has collaborated with scholars based in Japan, United States and Greece. Frequent co-authors include Naofumi Nagasue, Akira Yamanoi, Teruhisa Nakamura, H Yukaya, Dipok Kumar Dhar, Takashi Ono, Mitsuo Tachibana, Yu‐Chung Chang, Masaaki Uchida and Hirofumi Kubota. Their work appears in journals such as Cancer, World Journal of Surgery, British journal of surgery, Annals of Surgery and Immunogenetics.

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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