Gaurav Tripathi

481 total citations
37 papers, 369 citations indexed

About

Gaurav Tripathi is a scholar working on Immunology, Molecular Biology and Genetics. According to data from OpenAlex, Gaurav Tripathi has authored 37 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Immunology, 9 papers in Molecular Biology and 6 papers in Genetics. Recurrent topics in Gaurav Tripathi's work include Renal Diseases and Glomerulopathies (4 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (4 papers) and T-cell and B-cell Immunology (4 papers). Gaurav Tripathi is often cited by papers focused on Renal Diseases and Glomerulopathies (4 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (4 papers) and T-cell and B-cell Immunology (4 papers). Gaurav Tripathi collaborates with scholars based in India, Canada and Spain. Gaurav Tripathi's co-authors include Suraksha Agrawal, Satya Narayan Sankhwar, Raj Kumar Sharma, Raj Kumar Sharma, S. Agrawal, Tabrez Jafar, Faisal Ali Anwarali Khan, Richa Sharma, Farah Parveen and Rehan M. Faridi and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and European Heart Journal.

In The Last Decade

Gaurav Tripathi

34 papers receiving 359 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Gaurav Tripathi India 13 74 68 64 47 44 37 369
P Berthoux France 13 51 0.7× 45 0.7× 180 2.8× 41 0.9× 32 0.7× 26 510
Ritsuko Katafuchi Japan 14 99 1.3× 117 1.7× 194 3.0× 41 0.9× 83 1.9× 39 503
Motokazu Matsuura Japan 13 35 0.5× 195 2.9× 190 3.0× 26 0.6× 47 1.1× 30 538
Tiziana Spatola Italy 10 55 0.7× 94 1.4× 139 2.2× 61 1.3× 26 0.6× 12 423
Juei‐Hsiung Tsai Taiwan 14 30 0.4× 149 2.2× 50 0.8× 18 0.4× 44 1.0× 28 656
D. Erlich France 12 39 0.5× 77 1.1× 98 1.5× 91 1.9× 32 0.7× 22 630
Gonzalo P. Méndez Chile 11 51 0.7× 194 2.9× 97 1.5× 44 0.9× 44 1.0× 44 564
Chen Lu China 11 42 0.6× 193 2.8× 111 1.7× 31 0.7× 13 0.3× 28 375
Marijke A. de Vries Netherlands 14 64 0.9× 52 0.8× 18 0.3× 75 1.6× 32 0.7× 28 429
Marie-Noëlle Peraldi France 9 106 1.4× 72 1.1× 154 2.4× 19 0.4× 11 0.3× 10 402

Countries citing papers authored by Gaurav Tripathi

Since Specialization
Citations

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

Fields of papers citing papers by Gaurav Tripathi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gaurav Tripathi

This figure shows the co-authorship network connecting the top 25 collaborators of Gaurav Tripathi. A scholar is included among the top collaborators of Gaurav Tripathi 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 Gaurav Tripathi. Gaurav Tripathi 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
1.
Tripathi, Gaurav, et al.. (2025). Navigating Fertility Preservation in Epithelioid Peritoneal Mesothelioma: A Case Study. American Journal of Case Reports. 26. e946585–e946585.
2.
3.
Liacini, Abdelhamid, Gaurav Tripathi, Rehan M. Faridi, et al.. (2023). Interleukin 17F Gene Polymorphisms and Chronic Kidney Allograft Failure. Gene Expression. 23(1). 15–23. 1 indexed citations
4.
5.
Tripathi, Gaurav, Poonam Dharmani‐Khan, Robert Puckrin, et al.. (2022). Incomplete chimerism following myeloablative and anti-thymocyte globulin-conditioned hematopoietic cell transplantation is a risk factor for relapse and chronic graft-versus-host disease. Cytotherapy. 24(12). 1225–1231. 2 indexed citations
6.
Pandey, Sanjay, et al.. (2019). Burden of Inherited Hematological Disorders in Population of Vindhyan Region, Madhya Pradesh. Indian Journal of Clinical Biochemistry. 35(2). 255–256. 1 indexed citations
7.
Tripathi, Gaurav, et al.. (2016). CORRELATION OF COAGULATION PROFILE IN LIVER DISEASE PATIENTS IN A TERTIARY CARE HOSPITAL. International Journal of Current Research and Review. 8(8). 1–3. 1 indexed citations
8.
Tripathi, Gaurav. (2015). New Antimalarial Drug Development in India: Arteether ?/? -a Blood Schizontocide. SHILAP Revista de lepidopterología.
9.
Agrawal, S., et al.. (2015). Interleukin‑1 gene cluster variants in hemodialysis patients with end stage renal disease: An association and meta‑analysis. SHILAP Revista de lepidopterología. 25(1). 34–34. 6 indexed citations
10.
Álvarez‐Rodríguez, Lorena, Marcos López‐Hoyos, Eugenio Carrasco‐Marín, et al.. (2014). Cytokine Gene Considerations in Giant Cell Arteritis: IL10 Promoter Polymorphisms and a Review of the Literature. Clinical Reviews in Allergy & Immunology. 47(1). 56–64. 4 indexed citations
11.
Álvarez‐Rodríguez, Lorena, Marcos López‐Hoyos, Pedro Muñoz, et al.. (2011). Lack of association between Toll-like receptor 4 gene polymorphisms and giant cell arteritis. Lara D. Veeken. 50(9). 1562–1568. 12 indexed citations
12.
Prasad, K. Nagendra, Pankaj Prasun, Gaurav Tripathi, et al.. (2011). Association of angiotensin-converting enzyme gene I/D polymorphism with steroid responsiveness in childhood nephrotic syndrome. Indian Journal of Nephrology. 21(1). 26–26. 7 indexed citations
13.
Tripathi, Gaurav, Richa Sharma, Raj Kumar Sharma, et al.. (2010). Vitamin D receptor genetic variants among patients with end-stage renal disease. Renal Failure. 32(8). 969–977. 27 indexed citations
14.
Tripathi, Gaurav, et al.. (2010). Association of proinflammatory cytokines with end stage renal disease. Cytokine. 50(3). 278–283. 14 indexed citations
15.
Dwivedi, Mayank, et al.. (2009). COINFECTION OF PARVOVIRUS B19 WITH OTHER HEPATITIS VIRUSES LEADING TO FULMINANT HEPATITIS OF UNFAVORABLE OUTCOME IN CHILDREN. The Pediatric Infectious Disease Journal. 28(7). 649–650. 11 indexed citations
16.
Ranganath, Prajnya, Gaurav Tripathi, Richa Sharma, Satyanarayan Sankhwar, & Shruti Agrawal. (2009). Role of non‐HLA genetic variants in end‐stage renal disease. Tissue Antigens. 74(2). 147–155. 21 indexed citations
17.
Parveen, Farah, Gaurav Tripathi, Bhanumati Singh, Rehan M. Faridi, & Suraksha Agrawal. (2009). Acetylcholinesterase gene polymorphism and recurrent pregnancy loss. International Journal of Gynecology & Obstetrics. 106(1). 68–69. 2 indexed citations
18.
Tripathi, Gaurav, et al.. (2008). Genetic risk factors for renal failure among North Indian ESRD patients. Clinical Biochemistry. 41(7-8). 525–531. 33 indexed citations
19.
Sharda, Sheetal, Sanjeev Gulati, Gaurav Tripathi, et al.. (2008). Do glutathione-S-transferase polymorphisms influence response to intravenous cyclophosphamide therapy in idiopathic nephrotic syndrome?. Pediatric Nephrology. 23(11). 2001–2006. 14 indexed citations
20.
Agrawal, Suraksha, et al.. (2007). Relationship between GSTs Gene Polymorphism and Susceptibility to End Stage Renal Disease among North Indians. Renal Failure. 29(8). 947–953. 32 indexed citations

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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