Guoxin Kang

39 papers receiving 2.2k citations

Peers

Guoxin Kang
Comparison fields: 5 of 99
  • Biological Psychiatry 148
  • Physiology 133
  • Endocrinology, Diabetes and Metabolism 404
  • Behavioral Neuroscience 79
  • Cellular and Molecular Neuroscience 352
Replace Dong Kong with:
Dong Kong United States
Robert Pawlak Poland
Theresa Fan Canada
Thomas Kleppisch Germany
Olof Zachrisson Sweden
Bénédicte Dehouck France
Sadako Kuno Japan
Cécile Viollet France
Guillermo Estivill‐Torrús Spain
Cristina Missale Italy
Guoxin Kang relative to Dong Kong United States Dong Kong's profile →
Citations per field
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Citations per year

Countries citing papers authored by Guoxin Kang

Since Specialization
Citations

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

Fields of papers citing papers by Guoxin Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003264
2 2006220
3 2001179
4 2016122
5 2006118
6 2010107
7 2005103
8 201198
9 201492
10 200884
11 201073
12 201765
13 200364
14 200964
15 201551
16 201750
17 201149
18 201846
19 201744
20 200939

About Guoxin Kang

Guoxin Kang is a scholar working on Molecular Biology, Surgery, Cellular and Molecular Neuroscience, Cognitive Neuroscience and Cardiology and Cardiovascular Medicine, having authored 39 papers that have together received 2.2k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (8 papers), Ion channel regulation and function (5 papers), Cardiac electrophysiology and arrhythmias (4 papers), Congenital heart defects research (4 papers), Calcium signaling and nucleotide metabolism (3 papers), Cellular transport and secretion (3 papers), Diabetes Treatment and Management (3 papers) and Fibromyalgia and Chronic Fatigue Syndrome Research (3 papers). The work is most often cited by research in Biological Psychiatry (148 citations), Physiology (133 citations), Endocrinology, Diabetes and Metabolism (404 citations), Behavioral Neuroscience (79 citations) and Cellular and Molecular Neuroscience (352 citations). Guoxin Kang has collaborated with scholars based in United States, Japan and China. Frequent co-authors include George G. Holz, Oleg G. Chepurny, Xiangling Mao, Dikoma C. Shungu, Frank Schwede, Mark C. Harbeck, Michael W. Roe, Hans‐Gottfried Genieser, Johannes L. Bos and Glenn I. Fishman. Their work appears in journals such as The Journal of Physiology, Human Molecular Genetics, Psychiatry Research Neuroimaging, Journal of the Neurological Sciences and Schizophrenia Research.

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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