Mohit Mathur

631 total citations · 1 hit paper
42 papers, 377 citations indexed

About

Mohit Mathur is a scholar working on Epidemiology, Nephrology and Clinical Biochemistry. According to data from OpenAlex, Mohit Mathur has authored 42 papers receiving a total of 377 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Epidemiology, 15 papers in Nephrology and 9 papers in Clinical Biochemistry. Recurrent topics in Mohit Mathur's work include Urinary Tract Infections Management (16 papers), Renal Diseases and Glomerulopathies (14 papers) and Bacterial Identification and Susceptibility Testing (9 papers). Mohit Mathur is often cited by papers focused on Urinary Tract Infections Management (16 papers), Renal Diseases and Glomerulopathies (14 papers) and Bacterial Identification and Susceptibility Testing (9 papers). Mohit Mathur collaborates with scholars based in United States, India and Japan. Mohit Mathur's co-authors include David Baunoch, Yusuke Suzuki, Jill Yarbrough, Jonathan Barratt, Bobby Chacko, Tak Mao Chan, Brian J.G. Pereira, Richard A. Festa, Muh Geot Wong and Kook‐Hwan Oh and has published in prestigious journals such as New England Journal of Medicine, Journal of the American Society of Nephrology and Nephrology Dialysis Transplantation.

In The Last Decade

Mohit Mathur

34 papers receiving 338 citations

Hit Papers

A Phase 2 Trial of Sibeprenlimab in Patients with IgA Nep... 2023 2026 2024 2025 2023 25 50 75 100

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohit Mathur United States 11 194 141 70 63 63 42 377
Christie L. Boils United States 8 126 0.6× 66 0.5× 24 0.3× 15 0.2× 21 0.3× 11 289
Kaori Muro Japan 8 186 1.0× 28 0.2× 35 0.5× 5 0.1× 32 0.5× 12 304
Clive L. Hall United Kingdom 12 80 0.4× 60 0.4× 41 0.6× 14 0.2× 26 0.4× 20 327
B. Kaplan United States 11 149 0.8× 37 0.3× 8 0.1× 52 0.8× 107 1.7× 28 424
C Loirat France 11 176 0.9× 18 0.1× 9 0.1× 73 1.2× 59 0.9× 29 369
Mitsutaka Nishimoto Japan 10 12 0.1× 56 0.4× 16 0.2× 19 0.3× 183 2.9× 82 348
Godfrey Clark United Kingdom 9 58 0.3× 45 0.3× 11 0.2× 47 0.7× 34 0.5× 20 267
Charlotte Colosio France 9 51 0.3× 60 0.4× 8 0.1× 21 0.3× 13 0.2× 18 254
Gabriella Lauriero Italy 7 277 1.4× 21 0.1× 27 0.4× 4 0.1× 53 0.8× 8 433
Adina Welander Sweden 7 145 0.7× 105 0.7× 27 0.4× 2 0.0× 41 0.7× 8 358

Countries citing papers authored by Mohit Mathur

Since Specialization
Citations

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

Fields of papers citing papers by Mohit Mathur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohit Mathur

This figure shows the co-authorship network connecting the top 25 collaborators of Mohit Mathur. A scholar is included among the top collaborators of Mohit Mathur 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 Mohit Mathur. Mohit Mathur 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.
Festa, Richard A., F. R. Cockerill, Mohit Mathur, et al.. (2025). Full Validation of Pooled Antibiotic Susceptibility Testing Using CLSI Methods and Performance Criteria in UTI Pathogens. Antibiotics. 14(11). 1168–1168.
2.
Sim, John J., Qiaoling Chen, Ancilla W. Fernandes, et al.. (2025). CKD progression, kidney failure, and mortality among US patients with IgA nephropathy. Nephrology Dialysis Transplantation. 40(11). 2104–2117.
4.
Mathur, Mohit, Manisha Sahay, Brian J.G. Pereira, & Dana V. Rizk. (2024). State-of-Art Therapeutics in IgA Nephropathy. Indian Journal of Nephrology. 34(5). 417–430. 2 indexed citations
7.
Barratt, Jonathan, Mohit Mathur, Adrian Liew, et al.. (2024). The Anti-APRIL Antibody Sibeprenlimab Reduces Circulating Immune Complexes in Patients with IgAN: The Phase 2 ENVISION Randomized Controlled Trial. Journal of the American Society of Nephrology. 35(10S).
8.
Parnell, Laura, Mohit Mathur, Richard A. Festa, et al.. (2024). Urine biomarkers individually and as a consensus model show high sensitivity and specificity for detecting UTIs. BMC Infectious Diseases. 24(1). 153–153. 16 indexed citations
9.
Mathur, Mohit, Richard A. Festa, Jimin Wang, et al.. (2024). The Prevalence and Association of Different Uropathogens Detected by M-PCR with Infection-Associated Urine Biomarkers in Urinary Tract Infections. Research and Reports in Urology. Volume 16. 19–29. 11 indexed citations
10.
Willey, Cynthia, et al.. (2023). The incidence and prevalence of IgA nephropathy in Europe. Nephrology Dialysis Transplantation. 38(10). 2340–2349. 38 indexed citations
11.
Zhang, Xiaoyan, Yanlin Wang, Jill Yarbrough, et al.. (2023). Safety, Pharmacokinetics, and Pharmacodynamics of Subcutaneous Sibeprenlimab in Healthy Participants. Clinical Pharmacology in Drug Development. 12(12). 1211–1220. 2 indexed citations
12.
Korman, Howard, Mohit Mathur, Dakun Wang, et al.. (2023). Multiplex Polymerase Chain Reaction/Pooled Antibiotic Susceptibility Testing Was Not Associated with Increased Antibiotic Resistance in Management of Complicated Urinary Tract Infections. Infection and Drug Resistance. Volume 16. 2841–2848. 6 indexed citations
14.
Mathur, Mohit, Richard A. Festa, Jimin Wang, et al.. (2023). Comparison Shows that Multiplex Polymerase Chain Reaction Identifies Infection-associated Urinary Biomarker–positive Urinary Tract Infections That Are Missed by Standard Urine Culture. European Urology Open Science. 58. 73–81. 14 indexed citations
15.
Wang, Dakun, Mohit Mathur, Richard A. Festa, et al.. (2023). Emerging and Fastidious Uropathogens Were Detected by M-PCR with Similar Prevalence and Cell Density in Catheter and Midstream Voided Urine Indicating the Importance of These Microbes in Causing UTIs. Infection and Drug Resistance. Volume 16. 7775–7795. 7 indexed citations
16.
Rizk, Dana V., Vlado Perkovic, Richard Lafayette, et al.. (2022). A Phase 3, Multicenter, Randomized, Double-Blind, Placebo-Controlled Study to Evaluate the Efficacy and Safety of Sibeprenlimab Administered Subcutaneously in Patients With IgA Nephropathy. Journal of the American Society of Nephrology. 33(11S). 799–799. 2 indexed citations
17.
Beniwal, Pankaj, et al.. (2016). A clinicopathologic study of glomerular disease: A single-center, five-year retrospective study from Northwest India. Saudi Journal of Kidney Diseases and Transplantation. 27(5). 997–997. 10 indexed citations
18.
Mathur, Mohit, et al.. (2016). Fanconi syndrome due to light chain proximal tubulopathy in a patient with multiple myeloma. Saudi Journal of Kidney Diseases and Transplantation. 27(4). 805–805. 2 indexed citations
19.
Mathur, Mohit, et al.. (2014). Occupational kidney disease: Is exposure to ammonium nitrate a risk factor?. Indian Journal of Occupational and Environmental Medicine. 18(3). 164–164.
20.
Malhotra, Vinay, et al.. (2014). Successful outcome of tacrolimus-associated thrombotic microangiopathy in renal transplant recipient with plasmapharesis. Indian Journal of Transplantation. 8(3). 92–95.

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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