Mark Mendonça

469 citations
11 papers · 354 · h-index 8

Impact in

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

Papers in

    • CAR-T cell therapy research 5
    • Peptidase Inhibition and Analysis 2
    • Multiple Myeloma Research and Treatments 4
    • Acute Myeloid Leukemia Research 1

Mark Mendonça

11 papers receiving 349 citations

Peers

Mark Mendonça
Comparison fields: 5 of 42
  • Hematology 146
  • Oncology 205
  • Immunology 143
  • Radiology, Nuclear Medicine and Imaging 127
  • Virology 17
Replace Marielle Chiron with:
Marielle Chiron France
Elyana Matayeva United States
Amélie Cornillon France
J H Boot Netherlands
M Kloft Germany
Christina Hausl Austria
Pauline M.L. Rood Netherlands
Bronwyn Cambareri Australia
E. J. Kanzy Germany
Tineke Aarts‐Riemens Netherlands
Mark Mendonça relative to Marielle Chiron France Marielle Chiron's profile →
Citations per field
00.5×10×13×
Marielle Chiron · 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

11 of 11 papers shown
#Work
1 2020115
2 202090
3 201557
4 202035
5 202119
6 201812
7 20168
8 20197
9 20216
10 20243
11 20122

About Mark Mendonça

Mark Mendonça is a scholar working on Oncology, Hematology, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Immunology, having authored 11 papers that have together received 354 indexed citations. Recurring topics across this work include CAR-T cell therapy research (5 papers), Multiple Myeloma Research and Treatments (4 papers), Immunotherapy and Immune Responses (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Peptidase Inhibition and Analysis (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), Poxvirus research and outbreaks (1 paper) and Acute Myeloid Leukemia Research (1 paper). The work is most often cited by research in Hematology (146 citations), Oncology (205 citations), Immunology (143 citations), Radiology, Nuclear Medicine and Imaging (127 citations) and Virology (17 citations). Mark Mendonça has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Yusri Elsayed, Kathryn Packman, François Gaudet, Ricardo M. Attar, Diana Chin, Laurence C. Eisenlohr, Leopoldo Luistro, Yingzhe Li, Alexander Babich and Kodandaram Pillarisetti. Their work appears in journals such as Blood, Blood Advances, Nature Medicine, The Journal of Immunology and Cancer Research.

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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