Alex Bobik

10.9k citations
226 papers · 8.7k indexed · h-index 50

Impact in

Papers in

Alex Bobik

223 papers receiving 8.4k citations

Peers

Alex Bobik
Comparison fields: 5 of 133
  • Immunology 2.4k
  • Cardiology and Cardiovascular Medicine 2.1k
  • Immunology and Allergy 512
  • Endocrinology, Diabetes and Metabolism 884
  • Cancer Research 721
Replace Russell M. Medford with:
Russell M. Medford United States
Karin Bornfeldt United States
Seinosuke Kawashima Japan
P. Braquet France
Rosario Scalia United States
Benedict R. Lucchesi United States
Hiroshi Iwao Japan
Hidde Bult Belgium
Godfrey S. Getz United States
Satoru Eguchi United States
Alex Bobik relative to Russell M. Medford United States Russell M. Medford's profile →
Citations per field
00.5×5.6×
Russell M. Medford · 1×
Citations per year

Countries citing papers authored by Alex Bobik

Since Specialization
Citations

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

Fields of papers citing papers by Alex Bobik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 202317
2 202323
3 201672
4 201479
5 201147
6 201196
7 200572
8
Molecular cloning and characterization of the intermediate-conductance Ca^2^+-activated K^+ channel in vascular smooth muscle: relationship between K
199913
9 19975
10 19972
11 199652
12 199311
13 199234
14 19914
15 198933
16 19883
17 19886
18 19883
19 198016
20 197723

About Alex Bobik

Alex Bobik is a scholar working on Immunology and Allergy, Cardiology and Cardiovascular Medicine, Immunology, Biochemistry and Cancer Research, having authored 226 papers that have together received 8.7k indexed citations. Recurring topics across this work include Atherosclerosis and Cardiovascular Diseases (35 papers), Receptor Mechanisms and Signaling (25 papers), Nitric Oxide and Endothelin Effects (24 papers), Cell Adhesion Molecules Research (21 papers), Ion channel regulation and function (20 papers), TGF-β signaling in diseases (18 papers), Heart Rate Variability and Autonomic Control (16 papers) and Protease and Inhibitor Mechanisms (15 papers). The work is most often cited by research in Immunology (2.4k citations), Cardiology and Cardiovascular Medicine (2.1k citations), Immunology and Allergy (512 citations), Endocrinology, Diabetes and Metabolism (884 citations) and Cancer Research (721 citations). Alex Bobik has collaborated with scholars based in Australia, United States and Russia. Frequent co-authors include Alex Agrotis, Peter Kanellakis, Peter J. Little, Tin Kyaw, Garry Jennings, Peter G. Tipping, Ban‐Hock Toh, Paul Körner, Graham P. Jackman and Helen Skews. Their work appears in journals such as Clinical and Experimental Pharmacology and Physiology, Arteriosclerosis Thrombosis and Vascular Biology, Journal of Hypertension, Circulation Research and Journal of Cardiovascular Pharmacology.

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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