Payal Mehta

1.2k citations
20 papers · 962 indexed · h-index 13
Topics
Monoclonal and Polyclonal Antibodies Research (4 papers)Glycosylation and Glycoproteins Research (3 papers)Immune Cell Function and Interaction (3 papers)

In The Last Decade

Payal Mehta

20 papers receiving 953 citations

Peers

Payal Mehta
Comparison fields: 5 of 94
  • Immunology 366
  • Molecular Biology 303
  • Epidemiology 262
  • Physiology 168
  • Biochemistry 93
Replace Alessandro Luciani with:
Alessandro Luciani Switzerland
P. K. Sehajpal India
Marielle Nebout France
Vanessa Byles United States
Sharon H. Jackson United States
Gantsetseg Tumurkhuu Japan
Victoria A. McGuire United Kingdom
Christiane Ody France
Xiao-Pei Gao United States
Payal Mehta relative to Alessandro Luciani Switzerland Alessandro Luciani's profile →
Citations per field
00.5×1.5×2.4×
Alessandro Luciani · 1×
Citations per year

Countries citing papers authored by Payal Mehta

Since Specialization
Citations

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

Fields of papers citing papers by Payal Mehta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Payal Mehta

This figure shows the co-authorship network connecting the top 25 collaborators of Payal Mehta. A scholar is included among the top collaborators of Payal Mehta based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Payal Mehta. Payal Mehta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 4
3 14
4 54
5 55
6 11
7 86
8 272
9 10
10 43
11 40
12 32
13 1
14 20
15 5
16 17
17
Structure, function, and regulation of human cystine/glutamate transporter in retinal pigment epithelial cells.
100
18 12
19
Identification of constitutive and inducible forms of nitric oxide synthase in human platelets.
146
20 39

About Payal Mehta

Payal Mehta is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Endocrinology, having authored 20 papers that have together received 962 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (4 papers), Glycosylation and Glycoproteins Research (3 papers) and Immune Cell Function and Interaction (3 papers). The work is most often cited by research in Immunology (366 citations), Physiology (60 citations) and Biochemistry (93 citations). Payal Mehta has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Roland Kolbeck, Miguel A. F. Sanjuán, Jill Hénault, Melanie M. Brinkmann, Jeffrey M. Riggs, Akiko Iwasaki, Miwa Sasai, Lorraine Clarke, Anthony J. Coyle and Jennifer Martinez. Their work appears in journals such as Journal of Biological Chemistry, Immunity and PLoS ONE.

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

Rankless by CCL
2026