Ranjit S. Parhar

3.7k total citations
102 papers, 3.1k citations indexed

About

Ranjit S. Parhar is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Ranjit S. Parhar has authored 102 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Immunology, 24 papers in Molecular Biology and 20 papers in Oncology. Recurrent topics in Ranjit S. Parhar's work include Immune Cell Function and Interaction (18 papers), Reproductive System and Pregnancy (16 papers) and Xenotransplantation and immune response (8 papers). Ranjit S. Parhar is often cited by papers focused on Immune Cell Function and Interaction (18 papers), Reproductive System and Pregnancy (16 papers) and Xenotransplantation and immune response (8 papers). Ranjit S. Parhar collaborates with scholars based in Saudi Arabia, Canada and United States. Ranjit S. Parhar's co-authors include Peeyush K. Lala, Futwan Al‐Mohanna, Sultan T. Al‐Sedairy, Simcha Yagel, Kate S. Collison, Yufei Shi, Minjing Zou, Soad Saleh, Thomas G. Kennedy and Aaron Kwaasi and has published in prestigious journals such as The Journal of Experimental Medicine, The Journal of Immunology and Journal of Molecular Biology.

In The Last Decade

Ranjit S. Parhar

102 papers receiving 3.0k citations

Peers

Ranjit S. Parhar
Comparison fields: 5 of 112
  • Immunology 1.2k
  • Molecular Biology 802
  • Oncology 392
  • Genetics 359
  • Public Health, Environmental and Occupational Health 355
Replace Susan Kaufman with:
Susan Kaufman Canada
Katherine F. Roby United States
J. Steven Alexander United States
Teruhiko Tamaya Japan
Caroline Wheeler‐Jones United Kingdom
Danièle Evain‐Brion France
Scott A. Jelinsky United States
Yanli Pang China
M. Tsujimoto Japan
Eli C. Lewis Israel
Susan Kaufman Canada View profile →
Citations per field, relative to Ranjit S. Parhar
Ranjit S. Parhar · 1×
Citations per year, relative to Ranjit S. Parhar
Ranjit S. Parhar · 1×

Countries citing papers authored by Ranjit S. Parhar

Since Specialization
Citations

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

Fields of papers citing papers by Ranjit S. Parhar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ranjit S. Parhar. 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 Ranjit S. Parhar. The network helps show where Ranjit S. Parhar may publish in the future.

Co-authorship network of co-authors of Ranjit S. Parhar

This figure shows the co-authorship network connecting the top 25 collaborators of Ranjit S. Parhar. A scholar is included among the top collaborators of Ranjit S. Parhar 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 Ranjit S. Parhar. Ranjit S. Parhar 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
# Work Indexed citations
1 17
2 26
3 38
4 28
5 16
6 42
7 5
8 32
9 13
10 12
11 2
12 27
13 120
14 24
15 9
16 79
17 11
18 183
19 64
20
Mode of PGE/sub 2/ -mediated T lymphocyte inactivation at the fetomaternal interface
1

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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