Van B. Lu

1.4k citations
34 papers · 1.1k · h-index 18

Impact in

  • Physiology top 5%
    • Pain Mechanisms and Treatments
    • Diet and metabolism studies
    • Nerve injury and regeneration
    • Neuropeptides and Animal Physiology
    • Neuroscience and Neuropharmacology Research

Papers in

Van B. Lu

33 papers receiving 1.1k citations

Peers

Van B. Lu
Comparison fields: 5 of 89
  • Physiology 509
  • Cellular and Molecular Neuroscience 335
  • Endocrine and Autonomic Systems 98
  • Gastroenterology 54
  • Endocrinology, Diabetes and Metabolism 141
Replace Phillipe D. O’Brien with:
Phillipe D. O’Brien United States
Paul Richards United Kingdom
Angela A. Coutts United Kingdom
Giuseppe Clementi Italy
Andrei Sibaev Germany
Xue Jun Liu Canada
Kalina Venkova United States
Yoshitsugu Osumi Japan
Anna Elisa Trovato Italy
Koji Ataka Japan
Van B. Lu relative to Phillipe D. O’Brien United States Phillipe D. O’Brien's profile →
Citations per field
00.5×3.9×
Phillipe D. O’Brien · 1×
Citations per year

Countries citing papers authored by Van B. Lu

Since Specialization
Citations

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

Fields of papers citing papers by Van B. Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Van B. Lu. 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 Van B. Lu. The network helps show where Van B. Lu may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013122
2 2009108
3 2010104
4 202168
5 200760
6 202056
7 202355
8 200854
9 201253
10 201852
11 201751
12 201941
13 200635
14 202027
15 201524
16 202022
17 202120
18 200919
19 200917
20 201515

About Van B. Lu

Van B. Lu is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Physiology, Endocrinology, Diabetes and Metabolism and Surgery, having authored 34 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (11 papers), Ion channel regulation and function (11 papers), Nerve injury and regeneration (6 papers), Receptor Mechanisms and Signaling (5 papers), Diabetes Treatment and Management (4 papers), Pancreatic function and diabetes (4 papers), Neuroscience and Neural Engineering (3 papers) and Diet, Metabolism, and Disease (3 papers). The work is most often cited by research in Physiology (509 citations), Cellular and Molecular Neuroscience (335 citations), Endocrine and Autonomic Systems (98 citations), Gastroenterology (54 citations) and Endocrinology, Diabetes and Metabolism (141 citations). Van B. Lu has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Peter A. Smith, Stephen R. Ikeda, Henry L. Puhl, Frank Reimann, Fiona M. Gribble, Yu‐Jin Won, William F. Colmers, Sridhar Balasubramanyan, Klaus Ballanyi and James E. Biggs. Their work appears in journals such as The Journal of Physiology, Molecular Metabolism, Scientific Reports, Cell Reports and Journal of 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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