Partab Rai

492 citations
26 papers · 385 · h-index 13

Impact in

  • Nephrology top 5%
    • Renal Diseases and Glomerulopathies
    • Chronic Kidney Disease and Diabetes
  • Virology top 10%
    • HIV Research and Treatment

Papers in

    • Renal Diseases and Glomerulopathies 11
    • Chronic Kidney Disease and Diabetes 2
    • Renal and related cancers 2

Partab Rai

25 papers receiving 383 citations

Peers

Partab Rai
Comparison fields: 5 of 70
  • Nephrology 84
  • Virology 31
  • Genetics 64
  • Emergency Medicine 42
  • Geriatrics and Gerontology 10
Replace Divya Salhan with:
Divya Salhan United States
Kristin Meliambro United States
M Mozes Hungary
Santiago Prieto Spain
Khanh Nghiem United States
Shaul G. Massry United States
E Beltrandi Italy
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Edith Álvarez-León Mexico
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Citations per field
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Divya Salhan · 1×
Citations per year

Countries citing papers authored by Partab Rai

Since Specialization
Citations

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

Fields of papers citing papers by Partab Rai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201382
2 201330
3 201228
4 201327
5 201321
6 201420
7 201418
8
Visual outcome in patients of keratomycosis, at a tertiary care centre in Larkana, Pakistan.
201718
9 201218
10 201213
11 201313
12 201612
13 201212
14 201311
15 201210
16 201410
17 20119
18 20137
19 20156
20 20156

About Partab Rai

Partab Rai is a scholar working on Nephrology, Molecular Biology, Immunology, Genetics and Cardiology and Cardiovascular Medicine, having authored 26 papers that have together received 385 indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (11 papers), Pregnancy and preeclampsia studies (4 papers), Renin-Angiotensin System Studies (4 papers), Reproductive System and Pregnancy (3 papers), Chronic Kidney Disease and Diabetes (2 papers), Adenosine and Purinergic Signaling (2 papers), Bipolar Disorder and Treatment (2 papers) and Renal and related cancers (2 papers). The work is most often cited by research in Nephrology (84 citations), Virology (31 citations), Genetics (64 citations), Emergency Medicine (42 citations) and Geriatrics and Gerontology (10 citations). Partab Rai has collaborated with scholars based in United States, United Kingdom and Pakistan. Frequent co-authors include Pravin C. Singhal, Ashwani Malhotra, Mohammad Husain, Xiqian Lan, Kang Cheng, Divya Salhan, Dileep Kumar, Nirupama Chandel, Moin A. Saleem and Peter W. Mathieson. Their work appears in journals such as Experimental and Molecular Pathology, American Journal of Physiology-Renal Physiology, Journal of Orthopaedic Surgery and Research, Cellular Signalling and Experimental Cell 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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