Ka Bian

81 papers receiving 2.6k citations

Peers

Ka Bian
Comparison fields: 5 of 124
  • Physiology 811
  • Biochemistry 244
  • Complementary and alternative medicine 148
  • Endocrine and Autonomic Systems 93
  • Radiology, Nuclear Medicine and Imaging 307
Replace Tetsuo Adachi with:
Tetsuo Adachi Japan
Hiroe Nakazawa Japan
Ingolf E. Blasig Germany
Céline Demougeot France
Ken‐ichiro Tanaka Japan
Paula Grammas United States
William L. Rumsey United States
Xiaohong Zhou China
Renliang Zhang United States
John Hwa United States
Ka Bian relative to Tetsuo Adachi Japan Tetsuo Adachi's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ka Bian

Since Specialization
Citations

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

Fields of papers citing papers by Ka Bian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998248
2 2008187
3 2003144
4 2001134
5 2016114
6 201691
7 201786
8 201681
9 200781
10 199777
11 201174
12 201571
13 198764
14 200861
15 199957
16 200656
17 201251
18 200151
19 200646
20 199546

About Ka Bian

Ka Bian is a scholar working on Physiology, Molecular Biology, Cardiology and Cardiovascular Medicine, Pathology and Forensic Medicine and Complementary and alternative medicine, having authored 84 papers that have together received 2.7k indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (35 papers), Renin-Angiotensin System Studies (9 papers), Eicosanoids and Hypertension Pharmacology (7 papers), Plasma Applications and Diagnostics (5 papers), Traditional Chinese Medicine Analysis (5 papers), Phosphodiesterase function and regulation (4 papers), Traumatic Brain Injury and Neurovascular Disturbances (4 papers) and Cancer, Stress, Anesthesia, and Immune Response (4 papers). The work is most often cited by research in Physiology (811 citations), Biochemistry (244 citations), Complementary and alternative medicine (148 citations), Endocrine and Autonomic Systems (93 citations) and Radiology, Nuclear Medicine and Imaging (307 citations). Ka Bian has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Ferid Murad, Marie–Françoise Doursout, Karen L. Davis, Michael Keidar, Haifeng Zhu, Yoshinori Kamisaki, Emil Martin, Richard D. Bukoski, Dayun Yan and R. D. Bukoski. Their work appears in journals such as Evidence-based Complementary and Alternative Medicine, American Journal of Physiology-Heart and Circulatory Physiology, Molecular Pharmacology, Vascular Pharmacology and Proceedings of the National Academy of Sciences.

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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