Mridul Agrawal

1.3k total citations · 2 hit papers
12 papers, 289 citations indexed

About

Mridul Agrawal is a scholar working on Genetics, Hematology and Rheumatology. According to data from OpenAlex, Mridul Agrawal has authored 12 papers receiving a total of 289 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Genetics, 5 papers in Hematology and 3 papers in Rheumatology. Recurrent topics in Mridul Agrawal's work include Eosinophilic Disorders and Syndromes (3 papers), Acute Myeloid Leukemia Research (2 papers) and Electric and Hybrid Vehicle Technologies (2 papers). Mridul Agrawal is often cited by papers focused on Eosinophilic Disorders and Syndromes (3 papers), Acute Myeloid Leukemia Research (2 papers) and Electric and Hybrid Vehicle Technologies (2 papers). Mridul Agrawal collaborates with scholars based in United States, Sweden and Germany. Mridul Agrawal's co-authors include Benjamin L. Ebert, Pradeep Natarajan, Abhishek Niroula, Waihay J. Wong, Alexander G. Bick, Aswin Sekar, Christopher J. Gibson, Mark Trinder, Gabriel K. Griffin and Seyedeh M. Zekavat and has published in prestigious journals such as Circulation, Nature Medicine and SHILAP Revista de lepidopterología.

In The Last Decade

Mridul Agrawal

11 papers receiving 289 citations

Hit Papers

Distinction of lymphoid and myeloid clonal hematopoiesis 2021 2026 2022 2024 2021 2024 50 100 150

Peers

Mridul Agrawal
Carlos Hader United States
Diego Quinones Raffo United States
Mary Alikian United Kingdom
Xiu Yan Xie United States
Bianca F. Goemans Netherlands
Mridul Agrawal
Citations per year, relative to Mridul Agrawal Mridul Agrawal (= 1×) peers Ali Amin Asnafi

Countries citing papers authored by Mridul Agrawal

Since Specialization
Citations

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

Fields of papers citing papers by Mridul Agrawal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mridul Agrawal

This figure shows the co-authorship network connecting the top 25 collaborators of Mridul Agrawal. A scholar is included among the top collaborators of Mridul Agrawal 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 Mridul Agrawal. Mridul Agrawal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Lin, Amy E., Aneesh Bapat, Ling Xiao, et al.. (2024). Clonal Hematopoiesis of Indeterminate Potential With Loss of Tet2 Enhances Risk for Atrial Fibrillation Through Nlrp3 Inflammasome Activation. Circulation. 149(18). 1419–1434. 35 indexed citations breakdown →
2.
Dey, Supriyo, et al.. (2024). Fuel Cell Powertrain Power Management with Super Capacitor. SAE technical papers on CD-ROM/SAE technical paper series. 1.
3.
Robinette, Michelle L., Lachelle D. Weeks, Mridul Agrawal, et al.. (2023). Association of Somatic TET2 Mutations With Giant Cell Arteritis. Arthritis & Rheumatology. 76(3). 438–443. 14 indexed citations
4.
Niroula, Abhishek, Aswin Sekar, Mark A. Murakami, et al.. (2021). Distinction of lymphoid and myeloid clonal hematopoiesis. Nature Medicine. 27(11). 1921–1927. 161 indexed citations breakdown →
5.
Weeks, Lachelle D., Catherine R. Marinac, Robert Redd, et al.. (2021). Age-related diseases of inflammation in myelodysplastic syndrome and chronic myelomonocytic leukemia. Blood. 139(8). 1246–1250. 23 indexed citations
6.
Agrawal, Mridul, Abhishek Niroula, Pierre Cunin, et al.. (2021). The Association between Clonal Hematopoiesis and Gout. Blood. 138(Supplement 1). 595–595. 5 indexed citations
7.
Agrawal, Mridul, et al.. (2021). Environmental and Energy Sustainability Analysis of Conventional and Electric Powertrain. SAE technical papers on CD-ROM/SAE technical paper series. 1 indexed citations
8.
Miller, Peter G., Abhishek Niroula, Christopher J. Gibson, et al.. (2020). Identification of germline variants in adults with hemophagocytic lymphohistiocytosis. Blood Advances. 4(5). 925–929. 12 indexed citations
9.
Fröhling, Stefan, Mridul Agrawal, Nikolaus Jahn, et al.. (2016). CDK4/6 Inhibitor Palbociclib for Treatment of KMT2A-Rearranged Acute Myeloid Leukemia: Interim Analysis of the AMLSG 23-14 Trial. Blood. 128(22). 1608–1608. 14 indexed citations
10.
Agrawal, Mridul, Benjamin Hanfstein, Philipp Erben, et al.. (2014). MDR1 expression predicts outcome of Ph+ chronic phase CML patients on second-line nilotinib therapy after imatinib failure. Leukemia. 28(7). 1478–1485. 15 indexed citations
11.
Ebrahimi‐Fakhari, Darius, Mridul Agrawal, & Lara Wahlster. (2014). International electives in the final year of German medical school education – a student's perspective. SHILAP Revista de lepidopterología. 31(3). Doc26–Doc26. 8 indexed citations
12.
Agrawal, Mridul, Benjamin Hanfstein, Philipp Erben, et al.. (2013). MDR1 Gene Expression Predicts Response and Progression-Free Survival Of Ph+ CML Patients On Second-Line Nilotinib Therapy After Imatinib Failure - 4-Year Follow-Up. Blood. 122(21). 1494–1494. 1 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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