Lynn Ge

430 citations
16 papers · 358 · h-index 8

Impact in

Papers in

    • Genomics and Chromatin Dynamics 2
    • RNA Research and Splicing 2
    • Bone Metabolism and Diseases 2
    • Genetic Mapping and Diversity in Plants and Animals 2

Lynn Ge

15 papers receiving 352 citations

Peers

Lynn Ge
Comparison fields: 5 of 65
  • Cellular and Molecular Neuroscience 139
  • Developmental Neuroscience 20
  • Biological Psychiatry 9
  • Rheumatology 53
  • Immunology 56
Replace Shuji Matsuda with:
Shuji Matsuda Japan
Pilar Casquero Spain
Henriette Skala France
Shur-Tzu Chen Taiwan
Lauren Gehman United States
Julio C. Siciliano France
Yukari Hayashi Japan
Travis D. Baughan United States
Zhican Qu United States
Kristina Bečanović Sweden
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Citations per field
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Citations per year

Countries citing papers authored by Lynn Ge

Since Specialization
Citations

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

Fields of papers citing papers by Lynn Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2010172
2 199872
3 199926
4 199620
5 200017
6 20029
7 19968
8 20147
9 19987
10 19996
11 19963
12 19953
13 19983
14 19992
15
PSYCHOPHARMACOLOGIC SURVEY OF PSYCHIATRIC REFERRALS.
19642
16
Temporal bone findings in Peruvian mummies.
19771

About Lynn Ge

Lynn Ge is a scholar working on Molecular Biology, Genetics, Immunology, Cancer Research and Radiology, Nuclear Medicine and Imaging, having authored 16 papers that have together received 358 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Genomics and Chromatin Dynamics (2 papers), RNA Research and Splicing (2 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers), NF-κB Signaling Pathways (2 papers), Bone Metabolism and Diseases (2 papers) and Neurogenesis and neuroplasticity mechanisms (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (139 citations), Developmental Neuroscience (20 citations), Biological Psychiatry (9 citations), Rheumatology (53 citations) and Immunology (56 citations). Lynn Ge has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include F. Anne Stephenson, Hua Feng, Yi Zhang, Robert J. Wenthold, Ronald S. Petralia, Elaine F. Remmers, Svetlana Dracheva, Yutaka Kawahito, Ryan E. Longman and Grant W. Cannon. Their work appears in journals such as Journal of Bone and Mineral Research, Mammalian Genome, Journal of Cellular Biochemistry, Cell Proliferation and Neuroscience.

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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