Vi Pham

1.7k citations
43 papers · 1.4k · h-index 21

Impact in

Papers in

Vi Pham

40 papers receiving 1.4k citations

Peers

Vi Pham
Comparison fields: 5 of 100
  • Cellular and Molecular Neuroscience 456
  • Molecular Biology 834
  • Neurology 85
  • Physiology 225
  • Biological Psychiatry 20
Replace Ian M. Dickerson with:
Ian M. Dickerson United States
E. Giladi Israel
Juha Kuja‐Panula Finland
Ariane Davidson Israel
Niamh X. Cawley United States
D. O'Shaughnessy United Kingdom
Hans H. Schiffer United States
Stylianos Kosmidis United States
Marta Barbara Wisniewska Poland
Aída Marino Spain
Vi Pham relative to Ian M. Dickerson United States Ian M. Dickerson's profile →
Citations per field
00.5×1.5×2.1×
Ian M. Dickerson · 1×
Citations per year

Countries citing papers authored by Vi Pham

Since Specialization
Citations

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

Fields of papers citing papers by Vi Pham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009225
2 2017184
3 2003165
4 2008102
5 200682
6 201175
7 200945
8 201639
9 202338
10 200436
11 201330
12 201628
13 202327
14 200527
15 201925
16 201025
17 200324
18 201824
19 201123
20 202323

About Vi Pham

Vi Pham is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Endocrinology, Diabetes and Metabolism, Endocrine and Autonomic Systems and Physiology, having authored 43 papers that have together received 1.4k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (20 papers), Neuropeptides and Animal Physiology (19 papers), Renin-Angiotensin System Studies (4 papers), Ion channel regulation and function (4 papers), Peptidase Inhibition and Analysis (4 papers), Nicotinic Acetylcholine Receptors Study (3 papers), Hormonal Regulation and Hypertension (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (456 citations), Molecular Biology (834 citations), Neurology (85 citations), Physiology (225 citations) and Biological Psychiatry (20 citations). Vi Pham has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Siew Yeen Chai, Anthony L. Albiston, Ruani N. Fernando, Patrick Michael Sexton, Holly R. Yeatman, Jacob M. Basak, Maia Parsadanian, Joseph M. Castellano, Hong Jiang and David M. Holtzman. Their work appears in journals such as Molecular Pharmacology, ACS Chemical Neuroscience, Journal of Biological Chemistry, Peptides and Neuron.

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.

Explore authors with similar magnitude of impact