Gen Wen

1.7k citations
34 papers · 1.3k indexed · h-index 19

Impact in

    • Neuropeptides and Animal Physiology
  • Neurology top 5%
    • Vascular Malformations Diagnosis and Treatment
    • Intracranial Aneurysms: Treatment and Complications
    • Intracerebral and Subarachnoid Hemorrhage Research

Papers in

Gen Wen

34 papers receiving 1.3k citations

Peers

Gen Wen
Comparison fields: 5 of 99
  • Cellular and Molecular Neuroscience 253
  • Neurology 199
  • Endocrine and Autonomic Systems 75
  • Cell Biology 179
  • Behavioral Neuroscience 34
Replace Anselm P. D'Costa with:
Anselm P. D'Costa United States
Alain Boom Belgium
Anna A. Zmijewska United States
Hiromichi Kawai Japan
Malin Fex Sweden
Marina Zelenina Sweden
Bonnie L. Blazer‐Yost United States
Pratap Karki United States
Tsuyoshi Nishioku Japan
Pingwei Zhao China
Gen Wen relative to Anselm P. D'Costa United States Anselm P. D'Costa's profile →
Citations per field
00.5×
Anselm P. D'Costa · 1×
Citations per year

Countries citing papers authored by Gen Wen

Since Specialization
Citations

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

Fields of papers citing papers by Gen Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20129
2 201255
3 20116
4 201015
5 20108
6 20106
7 200946
8 200848
9 20082
10 200835
11 200825
12 200815
13 200723
14 20078
15 200739
16 200625
17 200568
18 200567
19 200475
20 200490

About Gen Wen

Gen Wen is a scholar working on Cell Biology, Behavioral Neuroscience, Endocrine and Autonomic Systems, Molecular Biology and Clinical Biochemistry, having authored 34 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cellular transport and secretion (10 papers), Receptor Mechanisms and Signaling (10 papers), Biotin and Related Studies (4 papers), Hormonal Regulation and Hypertension (4 papers), Diet and metabolism studies (3 papers), Adipose Tissue and Metabolism (3 papers), Regulation of Appetite and Obesity (3 papers) and Retinal Development and Disorders (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (253 citations), Neurology (199 citations), Endocrine and Autonomic Systems (75 citations), Cell Biology (179 citations) and Behavioral Neuroscience (34 citations). Gen Wen has collaborated with scholars based in United States, Sweden and China. Frequent co-authors include Bruce A. Hamilton, Daniel T. O’Connor, Manjula Mahata, Fangwen Rao, Sushil K. Mahata, Nicholas J. Schork, Michael G. Ziegler, Rany M. Salem, Brinda K. Rana and Nicholas M. Barbaro. Their work appears in journals such as Journal of Hypertension, Circulation, Hypertension, The Journal of Clinical Endocrinology & Metabolism and Kidney International.

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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