Nirav Agrawal

688 citations
18 papers · 128 · h-index 6

Impact in

    • Renal Diseases and Glomerulopathies
    • Acute Kidney Injury Research
    • Autoimmune Neurological Disorders and Treatments
    • Myasthenia Gravis and Thymoma
    • Peripheral Neuropathies and Disorders

Papers in

Nirav Agrawal

15 papers receiving 126 citations

Peers

Nirav Agrawal
Comparison fields: 5 of 45
  • Nephrology 22
  • Neurology 22
  • Transplantation 2
  • Hematology 8
  • Genetics 7
Replace Geneviève Genest with:
Geneviève Genest Canada
P. Bélénotti France
Yuhong Mi China
Omar Al Omari United States
S. Mouttalib France
Rubén Fernández-Álvarez Spain
Caterina Bonetto Switzerland
Arne Riedlinger Germany
Jiacai Cho Singapore
Christiane Weseloh Germany
Nirav Agrawal relative to Geneviève Genest Canada Geneviève Genest's profile →
Citations per field
00.5×2.6×
Geneviève Genest · 1×
Citations per year

Countries citing papers authored by Nirav Agrawal

Since Specialization
Citations

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

Fields of papers citing papers by Nirav Agrawal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 201929
2 202125
3 202115
4 202112
5 20219
6 20149
7 20225
8 20195
9 20185
10 20194
11 20244
12 20232
13 20242
14 20231
15 20211
16 20250
17 20210
18 20180

About Nirav Agrawal

Nirav Agrawal is a scholar working on Infectious Diseases, Neurology, Surgery, Nephrology and Oncology, having authored 18 papers that have together received 128 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (3 papers), Long-Term Effects of COVID-19 (2 papers), Acute Kidney Injury Research (2 papers), DNA Repair Mechanisms (1 paper), BRCA gene mutations in cancer (1 paper), Amino Acid Enzymes and Metabolism (1 paper), Fungal Infections and Studies (1 paper) and Genetic Neurodegenerative Diseases (1 paper). The work is most often cited by research in Nephrology (22 citations), Neurology (22 citations), Transplantation (2 citations), Hematology (8 citations) and Genetics (7 citations). Nirav Agrawal has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Rupesh Raina, Stephen D. Marks, Rahul Chanchlani, Rajiv Sinha, Denise K C Sur, Mignon McCulloch, Khalid Alhasan, Sidharth Kumar Sethi, Stefanos Zafeiropoulos and Meng Zhang. Their work appears in journals such as World Journal of Oncology, Clinical Breast Cancer, Clinical Kidney Journal, Journal of the International Association of Providers of AIDS Care (JIAPAC) and The Journal of the American Board of Family Medicine.

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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