John P. Vu

18 papers receiving 374 citations

Peers

John P. Vu
Comparison fields: 5 of 63
  • Endocrine and Autonomic Systems 77
  • Cancer Research 84
  • Cellular and Molecular Neuroscience 102
  • Reproductive Medicine 29
  • Gastroenterology 16
Replace Iris P.L. Wong with:
Iris P.L. Wong Australia
Daniel Torres United States
Ian E. Gonzalez United States
Sarah Forbes United Kingdom
Marta Szyszka Poland
Florencia Rosignoli Argentina
Marianna Tyczewska Poland
Jiajing Yin China
C Cuello United States
Y.C. Loraine Tung United Kingdom
John P. Vu relative to Iris P.L. Wong Australia Iris P.L. Wong's profile →
Citations per field
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Iris P.L. Wong · 1×
Citations per year

Countries citing papers authored by John P. Vu

Since Specialization
Citations

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

Fields of papers citing papers by John P. Vu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John P. Vu. 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 John P. Vu. The network helps show where John P. Vu may publish in the future.

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2016108
2 201538
3 201531
4 201428
5 201525
6 201923
7 201722
8 201820
9 201116
10 201014
11 202313
12 202212
13 20219
14 20168
15
Glutamate-cysteine ligase catalytic subunit as a therapeutic target in acute myeloid leukemia and solid tumors.
20217
16 20181
17 20151
18 20151
19 20130

About John P. Vu

John P. Vu is a scholar working on Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems, Endocrinology, Diabetes and Metabolism, Surgery and Physiology, having authored 19 papers that have together received 377 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (11 papers), Regulation of Appetite and Obesity (10 papers), Diet and metabolism studies (4 papers), Hypothalamic control of reproductive hormones (3 papers), Hormonal Regulation and Hypertension (3 papers), Helicobacter pylori-related gastroenterology studies (2 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (2 papers) and Colorectal Cancer Screening and Detection (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (77 citations), Cancer Research (84 citations), Cellular and Molecular Neuroscience (102 citations), Reproductive Medicine (29 citations) and Gastroenterology (16 citations). John P. Vu has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Patrizia M. Germano, Joseph R. Pisegna, Joseph R. Pisegna, David Padua, Charalabos Pothoulakis, Daniel Sanford, Swapna Mahurkar‐Joshi, Ivy Ka Man Law, Christos Polytarchou and Dimitrios Iliopoulos. Their work appears in journals such as Journal of Molecular Neuroscience, Gastroenterology, Biology, American Journal of Physiology-Gastrointestinal and Liver Physiology and American Journal of Cancer Research.

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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