Meera Mohan

1.5k citations
88 papers · 541 · h-index 12

Impact in

  • Hematology top 5%
    • Multiple Myeloma Research and Treatments
  • Oncology top 10%
    • CAR-T cell therapy research
    • Peptidase Inhibition and Analysis

Papers in

    • Multiple Myeloma Research and Treatments 58
    • CAR-T cell therapy research 21
    • Peptidase Inhibition and Analysis 11
    • Cancer Treatment and Pharmacology 9

Meera Mohan

75 papers receiving 533 citations

Peers

Meera Mohan
Comparison fields: 5 of 70
  • Hematology 342
  • Oncology 293
  • Genetics 49
  • Molecular Biology 264
  • Radiology, Nuclear Medicine and Imaging 69
Replace Anjana Gupta with:
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Xing-Mei Cao China
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Meera Mohan relative to Anjana Gupta United States Anjana Gupta's profile →
Citations per field
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Anjana Gupta · 1×
Citations per year

Countries citing papers authored by Meera Mohan

Since Specialization
Citations

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

Fields of papers citing papers by Meera Mohan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201746
2 201940
3 202134
4 202334
5 202225
6 201725
7 202320
8 202118
9 202218
10 202317
11 202115
12 202014
13 201611
14 202410
15 20209
16 20178
17 20168
18 20218
19 20228
20 20218

About Meera Mohan

Meera Mohan is a scholar working on Hematology, Oncology, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Infectious Diseases, having authored 88 papers that have together received 541 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (58 papers), CAR-T cell therapy research (21 papers), Protein Degradation and Inhibitors (19 papers), Monoclonal and Polyclonal Antibodies Research (11 papers), Peptidase Inhibition and Analysis (11 papers), Cancer Treatment and Pharmacology (9 papers), Chronic Lymphocytic Leukemia Research (8 papers) and Biosimilars and Bioanalytical Methods (6 papers). The work is most often cited by research in Hematology (342 citations), Oncology (293 citations), Genetics (49 citations), Molecular Biology (264 citations) and Radiology, Nuclear Medicine and Imaging (69 citations). Meera Mohan has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Binod Dhakal, Anita D’Souza, Faith E. Davies, Aasiya Matin, Carolina Schinke, Parameswaran Hari, Saurabh Chhabra, Frits van Rhee, Maurizio Zangari and Sabarinath Venniyil Radhakrishnan. Their work appears in journals such as Blood, British Journal of Haematology, Blood Advances, Journal of Clinical Oncology and European Journal Of Haematology.

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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