Lee‐Ming Kow

5.8k citations
106 papers · 4.5k indexed · h-index 40

Lee‐Ming Kow

106 papers receiving 4.3k citations

Peers

Lee‐Ming Kow
Comparison fields: 5 of 120
  • Behavioral Neuroscience 649
  • Endocrine and Autonomic Systems 1.1k
  • Reproductive Medicine 1.3k
  • Social Psychology 1.3k
  • Cellular and Molecular Neuroscience 1.1k
Replace Fukuko Kimura with:
Fukuko Kimura Japan
Yasuo Sakuma Japan
Joan I. Morrell United States
Richard E. Harlan United States
G. Tramu France
Henryk F. Urbanski United States
Toshiya Funabashi Japan
Benjamin D. Sachs United States
Carlos Beyer Mexico
Carol A. Dudley United States
Lee‐Ming Kow relative to Fukuko Kimura Japan Fukuko Kimura's profile →
Citations per field
00.5×1.5×
Fukuko Kimura · 1×
Citations per year

Countries citing papers authored by Lee‐Ming Kow

Since Specialization
Citations

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

Fields of papers citing papers by Lee‐Ming Kow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lee‐Ming Kow. 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 Lee‐Ming Kow. The network helps show where Lee‐Ming Kow may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20211
2 20169
3 201644
4 20093
5 200838
6 200820
7 20079
8 200638
9 200629
10 200515
11 200224
12 19998
13 199923
14 199491
15 199429
16 199240
17 199159
18 199139
19 198843
20 198863

About Lee‐Ming Kow

Lee‐Ming Kow is a scholar working on Reproductive Medicine, Endocrine and Autonomic Systems, Behavioral Neuroscience, Cellular and Molecular Neuroscience and Social Psychology, having authored 106 papers that have together received 4.5k indexed citations. Recurring topics across this work include Hypothalamic control of reproductive hormones (40 papers), Neuroendocrine regulation and behavior (29 papers), Regulation of Appetite and Obesity (14 papers), Receptor Mechanisms and Signaling (12 papers), Neuropeptides and Animal Physiology (11 papers), Neuroscience and Neuropharmacology Research (11 papers), Neuroscience of respiration and sleep (10 papers) and Estrogen and related hormone effects (10 papers). The work is most often cited by research in Behavioral Neuroscience (649 citations), Endocrine and Autonomic Systems (1.1k citations), Reproductive Medicine (1.3k citations), Social Psychology (1.3k citations) and Cellular and Molecular Neuroscience (1.1k citations). Lee‐Ming Kow has collaborated with scholars based in United States, Spain and Japan. Frequent co-authors include Donald W. Pfaff, Charles V. Mobbs, Frank P. Zemlan, Xue-Jun Yang, Donald W. Pfaff, Nandini Vasudevan, D. W. Pfaff, Toshiya Funabashi, Charles W. Malsbury and Christiana M. Leonard. Their work appears in journals such as Brain Research, Proceedings of the National Academy of Sciences, Neuroendocrinology, Hormones and Behavior and Journal of Neurophysiology.

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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