Nancy C. Lan

47 papers receiving 3.1k citations

Peers

Nancy C. Lan
Comparison fields: 5 of 110
  • Behavioral Neuroscience 463
  • Cellular and Molecular Neuroscience 1.3k
  • Biological Psychiatry 114
  • Immunology 528
  • Genetics 657
Replace Guillermina Almazán with:
Guillermina Almazán Canada
Yvette Akwa France
Maynard H. Makman United States
Gabriel Olmos Spain
Kanato Yamagata Japan
Stephen R. Salton United States
Christian Wetzel Germany
Adam J. Shaywitz United States
Hisato Jingami Japan
Christine Patte‐Mensah France
Nancy C. Lan relative to Guillermina Almazán Canada Guillermina Almazán's profile →
Citations per field
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Citations per year

Countries citing papers authored by Nancy C. Lan

Since Specialization
Citations

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

Fields of papers citing papers by Nancy C. Lan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nancy C. Lan. 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 Nancy C. Lan. The network helps show where Nancy C. Lan may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991275
2 1985262
3
Characterization of the anticonvulsant properties of ganaxolone (CCD 1042; 3alpha-hydroxy-3beta-methyl-5alpha-pregnan-20-one), a selective, high-affinity, steroid modulator of the gamma-aminobutyric acid(A) receptor.
1997238
4 1986194
5 1979178
6 1989177
7 1990157
8 1995140
9 1990135
10 1997124
11 1976123
12 199196
13 198093
14 198291
15
Detection of glucocorticoid receptors in cultured human trabecular cells.
198184
16 199084
17 199173
18 199468
19 199964
20 199563

About Nancy C. Lan

Nancy C. Lan is a scholar working on Cellular and Molecular Neuroscience, Genetics, Behavioral Neuroscience, Molecular Biology and Social Psychology, having authored 48 papers that have together received 3.4k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (23 papers), Estrogen and related hormone effects (12 papers), Ion channel regulation and function (12 papers), Neuroendocrine regulation and behavior (8 papers), Receptor Mechanisms and Signaling (8 papers), Stress Responses and Cortisol (5 papers), Memory and Neural Mechanisms (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). The work is most often cited by research in Behavioral Neuroscience (463 citations), Cellular and Molecular Neuroscience (1.3k citations), Biological Psychiatry (114 citations), Immunology (528 citations) and Genetics (657 citations). Nancy C. Lan has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Kelvin W. Gee, Scott Wieland, Benita S. Katzenellenbogen, Delia Belelli, Michael B. Bolger, John D. Baxter, Jean Chen Shih, Leroy Hood, Astar Winoto and Jon E. Hawkinson. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, Journal of Neurochemistry, Psychopharmacology, Nature and The Journal of Clinical Endocrinology & Metabolism.

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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