Mark Mendonça

509 citations
7 papers · 375 · h-index 6

Impact in

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

Papers in

    • Multiple Myeloma Research and Treatments 3
    • Immunotherapy and Immune Responses 3

Mark Mendonça

6 papers receiving 364 citations

Peers

Mark Mendonça
Comparison fields: 5 of 43
  • Hematology 144
  • Oncology 179
  • Radiology, Nuclear Medicine and Imaging 133
  • Immunology 120
  • Virology 17
Replace Elyana Matayeva with:
Elyana Matayeva United States
Amélie Cornillon France
Christina Hausl Austria
Sindy Liao-Chan United States
G Dennert United States
Marion Drew United Kingdom
J H Boot Netherlands
Scott Portwood United States
Pauline M.L. Rood Netherlands
Christina K. Baumgartner United States
Mark Mendonça relative to Elyana Matayeva United States Elyana Matayeva's profile →
Citations per field
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Elyana Matayeva · 1×
Citations per year

Countries citing papers authored by Mark Mendonça

Since Specialization
Citations

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

Fields of papers citing papers by Mark Mendonça

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 2020143
2 2020112
3 201564
4 202038
5 20199
6 20168
7 20121

About Mark Mendonça

Mark Mendonça is a scholar working on Hematology, Immunology, Radiology, Nuclear Medicine and Imaging, Oncology and Virology, having authored 7 papers that have together received 375 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (3 papers), Immunotherapy and Immune Responses (3 papers), Multiple Myeloma Research and Treatments (3 papers), CAR-T cell therapy research (2 papers), Microbial Inactivation Methods (1 paper), Microfluidic and Bio-sensing Technologies (1 paper), Influenza Virus Research Studies (1 paper) and Microfluidic and Capillary Electrophoresis Applications (1 paper). The work is most often cited by research in Hematology (144 citations), Oncology (179 citations), Radiology, Nuclear Medicine and Imaging (133 citations), Immunology (120 citations) and Virology (17 citations). Mark Mendonça has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Yusri Ali Elsayed, François Gaudet, Kathryn E. Packman, Ricardo M. Attar, Alexander Babich, Yingzhe Li, Diana Chin, Leopoldo L. Luistro, Kodandaram Pillarisetti and Laurence Crane Eisenlohr. Their work appears in journals such as Blood Advances, Blood, The Journal of Immunology, Nature Medicine and Methods in molecular biology.

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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