Kay‐Pong Yip

77 papers receiving 3.4k citations

Peers

Kay‐Pong Yip
Comparison fields: 5 of 142
  • Sensory Systems 257
  • Nephrology 221
  • Microbiology 191
  • Molecular Biology 1.8k
  • Physiology 582
Replace Ryohei Katoh with:
Ryohei Katoh Japan
Ming Lei United Kingdom
Mike J. Mason United States
John F. Timms United Kingdom
Phyllis Gardner United States
M. Cooke United States
Edgar Wingender Germany
Christopher M. Tan United States
Guangyu Wu United States
John Lewicki United States
Kay‐Pong Yip relative to Ryohei Katoh Japan Ryohei Katoh's profile →
Citations per field
00.5×9.1×
Ryohei Katoh · 1×
Citations per year

Countries citing papers authored by Kay‐Pong Yip

Since Specialization
Citations

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

Fields of papers citing papers by Kay‐Pong Yip

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kay‐Pong Yip. 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 Kay‐Pong Yip. The network helps show where Kay‐Pong Yip may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004319
2 2015292
3
Gene expression, immunolocalization, and secretion of human defensin-5 in human female reproductive tract.
1998248
4 2009203
5 2000188
6 2017114
7 201497
8 199696
9 200282
10 199178
11 200375
12 199875
13 200573
14 200672
15 199368
16 199264
17 200157
18 199557
19 200552
20 200549

About Kay‐Pong Yip

Kay‐Pong Yip is a scholar working on Molecular Biology, Physiology, Cardiology and Cardiovascular Medicine, Computer Networks and Communications and Surgery, having authored 77 papers that have together received 3.5k indexed citations. Recurring topics across this work include Ion Transport and Channel Regulation (23 papers), Nitric Oxide and Endothelin Effects (18 papers), Nonlinear Dynamics and Pattern Formation (8 papers), Ion channel regulation and function (8 papers), Cell Adhesion Molecules Research (6 papers), Heart Rate Variability and Autonomic Control (5 papers), Neuroendocrine regulation and behavior (5 papers) and Renin-Angiotensin System Studies (4 papers). The work is most often cited by research in Sensory Systems (257 citations), Nephrology (221 citations), Microbiology (191 citations), Molecular Biology (1.8k citations) and Physiology (582 citations). Kay‐Pong Yip has collaborated with scholars based in United States, Denmark and China. Frequent co-authors include Donald J. Marsh, Niels‐Henrik Holstein‐Rathlou, Samuel C. Mok, James S.K. Sham, Tsz-Lun Yeung, Chung‐Ming Tse, Cecilia S. Leung, Mo‐Jun Lin, Stephen T.C. Wong and Wei-Min Zhang. Their work appears in journals such as American Journal of Physiology-Renal Physiology, American Journal of Physiology-Regulatory, Integrative and Comparative Physiology, American Journal of Physiology-Cell Physiology, American Journal of Physiology-Lung Cellular and Molecular Physiology and Nature Communications.

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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