Kunihisa Kobayashi

5.7k citations
106 papers · 3.6k indexed · h-index 32

Kunihisa Kobayashi

102 papers receiving 3.5k citations

Peers

Kunihisa Kobayashi
Comparison fields: 5 of 136
  • Biochemistry 493
  • Clinical Biochemistry 401
  • Endocrinology, Diabetes and Metabolism 751
  • Physiology 890
  • Nephrology 233
Replace H Nawata with:
H Nawata Japan
Anna C. Calkin Australia
I. George Fantus Canada
C. Roger White United States
Charles E. Sparks United States
Saša Frank Austria
Gadiparthi N. Rao United States
Hiroyasu Yamamoto Japan
Kazuhisa Tsukamoto Japan
Laura Calabresi Italy
Kunihisa Kobayashi relative to H Nawata Japan H Nawata's profile →
Citations per field
00.5×1.5×2.1×
H Nawata · 1×
Citations per year

Countries citing papers authored by Kunihisa Kobayashi

Since Specialization
Citations

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

Fields of papers citing papers by Kunihisa Kobayashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20234
3 20221
4 20184
5 20178
6 201524
7 201331
8 201222
9
A case of miliary tuberculosis with type 2 diabetes mellitus complicated with hemophagocytic syndrome, disseminated intravascular coagulation, acute respiratory distress syndrome and acute renal failure
20101
10
Evaluation of the effect of particle shape on the bearing capacity of railroad ballast with discontinuous analysis
20051
11 200554
12 200413
13 2003210
14 200142
15 2000209
16 199740
17 199586
18 19940
19 19904
20 19731

About Kunihisa Kobayashi

Kunihisa Kobayashi is a scholar working on Biochemistry, Endocrinology, Diabetes and Metabolism and Clinical Biochemistry, having authored 106 papers that have together received 3.6k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (15 papers), Lipid metabolism and biosynthesis (14 papers), Diabetes Treatment and Management (11 papers), Nitric Oxide and Endothelin Effects (10 papers), Advanced Glycation End Products research (10 papers), Peroxisome Proliferator-Activated Receptors (8 papers), Pancreatic function and diabetes (8 papers) and Diabetes Management and Research (7 papers). The work is most often cited by research in Biochemistry (493 citations), Clinical Biochemistry (401 citations) and Endocrinology, Diabetes and Metabolism (751 citations). Kunihisa Kobayashi has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Toyoshi Inoguchi, Hajime Nawata, Noriyuki Sonoda, Lawrence Chan, Hideki Sumimoto, Susumu Taniguchi, Hirotaka Tsubouchi, Yasutaka Maeda, Kazuhiro Oka and Naotaka Sekiguchi. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

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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