Ankit Mahendra

554 citations
14 papers · 386 · h-index 10

Impact in

  • Hematology top 10%
    • Hemophilia Treatment and Research
    • Platelet Disorders and Treatments
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology

Papers in

Ankit Mahendra

14 papers receiving 382 citations

Peers

Ankit Mahendra
Comparison fields: 5 of 62
  • Hematology 87
  • Immunology 118
  • Oncology 131
  • Radiology, Nuclear Medicine and Imaging 77
  • Genetics 29
Replace Trudi P. Visser with:
Trudi P. Visser Netherlands
Yoko Toda Japan
Bernadette Swart Australia
Frederik Stevenaert Belgium
Christian Seitz Germany
Dilip K. Challa United States
Maor H. Pauker Israel
Jonathan T. Pribila United States
Philippos Demetriou United Kingdom
Azzah Al Masri United States
Ankit Mahendra relative to Trudi P. Visser Netherlands Trudi P. Visser's profile →
Citations per field
00.5×2.5×
Trudi P. Visser · 1×
Citations per year

Countries citing papers authored by Ankit Mahendra

Since Specialization
Citations

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

Fields of papers citing papers by Ankit Mahendra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 201991
2 201473
3 202238
4 201032
5 201131
6 200930
7 201823
8 201223
9 200916
10 201212
11 20149
12 20164
13 20133
14 20191

About Ankit Mahendra

Ankit Mahendra is a scholar working on Radiology, Nuclear Medicine and Imaging, Hematology, Immunology, Oncology and Molecular Biology, having authored 14 papers that have together received 386 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (5 papers), Hemophilia Treatment and Research (3 papers), CAR-T cell therapy research (3 papers), Platelet Disorders and Treatments (3 papers), Complement system in diseases (2 papers), Blood Coagulation and Thrombosis Mechanisms (2 papers), Immune Cell Function and Interaction (2 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper). The work is most often cited by research in Hematology (87 citations), Immunology (118 citations), Oncology (131 citations), Radiology, Nuclear Medicine and Imaging (77 citations) and Genetics (29 citations). Ankit Mahendra has collaborated with scholars based in India, France and United States. Frequent co-authors include Sébastien Lacroix‐Desmazes, Srini V. Kaveri, Navin Varadarajan, Amita Aggarwal, Gabrielle Romain, Ramnath Misra, Ivan Liadi, Stuart S. Martin, Κωνσταντίνος Κωνσταντόπουλος and Daniel J. Shea. Their work appears in journals such as Blood, The Journal of Immunology, Molecular Immunology, British Journal of Haematology and Arthritis & Rheumatology.

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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