Lee‐Ming Kow

112 papers receiving 4.5k citations

Peers

Lee‐Ming Kow
Comparison fields: 5 of 117
  • Behavioral Neuroscience 646
  • Reproductive Medicine 1.4k
  • Endocrine and Autonomic Systems 1.1k
  • Social Psychology 1.5k
  • Cellular and Molecular Neuroscience 1.1k
Replace Fukuko Kimura with:
Fukuko Kimura Japan
Richard E. Harlan United States
Henryk F. Urbanski United States
Clive W. Coen United Kingdom
James E. Shryne United States
Carlos Beyer Mexico
Erik Hrabovszky Hungary
Toshiya Funabashi Japan
Charles H. Sawyer United States
Dean E. Dluzen United States
Lee‐Ming Kow relative to Fukuko Kimura Japan Fukuko Kimura's profile →
Citations per field
00.5×1.6×
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-authors

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

Showing the 20 most-cited of 114 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999251
2 1978222
3 2004156
4 1977146
5 2001146
6 2005128
7 2008113
8 199898
9 198598
10 199497
11 198396
12 200594
13 201590
14 200184
15 200484
16
Descending tracts of the lateral columns of the rat spinal cord: a study using the horseradish peroxidase and silver impregnation techniques.
197980
17 198879
18 197676
19 198571
20 197569

About Lee‐Ming Kow

Lee‐Ming Kow is a scholar working on Reproductive Medicine, Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience, Social Psychology and Behavioral Neuroscience, having authored 114 papers that have together received 4.7k indexed citations. Recurring topics across this work include Hypothalamic control of reproductive hormones (44 papers), Neuroendocrine regulation and behavior (35 papers), Regulation of Appetite and Obesity (15 papers), Estrogen and related hormone effects (14 papers), Receptor Mechanisms and Signaling (12 papers), Sleep and Wakefulness Research (11 papers), Neuroscience and Neuropharmacology Research (11 papers) and Neuropeptides and Animal Physiology (11 papers). The work is most often cited by research in Behavioral Neuroscience (646 citations), Reproductive Medicine (1.4k citations), Endocrine and Autonomic Systems (1.1k citations), Social Psychology (1.5k 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, Charles W. Malsbury, Toshiya Funabashi and Christiana M. Leonard. Their work appears in journals such as Brain Research, Proceedings of the National Academy of Sciences, Hormones and Behavior, Neuroendocrinology 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.

Explore authors with similar magnitude of impact