Jan Davidson‐Moncada

1.8k citations
50 papers · 529 · h-index 13

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology
  • Oncology top 10%
    • CAR-T cell therapy research

Papers in

    • CAR-T cell therapy research 28
    • Cancer Immunotherapy and Biomarkers 3
    • Immune Cell Function and Interaction 16
    • Immune cells in cancer 8
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms 3

Jan Davidson‐Moncada

46 papers receiving 524 citations

Peers

Jan Davidson‐Moncada
Comparison fields: 5 of 62
  • Immunology 214
  • Oncology 220
  • Hematology 80
  • Cancer Research 104
  • Gastroenterology 19
Replace Haizhou Xing with:
Haizhou Xing China
Todd J. Waldron United States
Nadine Kutsch Germany
Selda Samakoglu United States
Bijan Moshaver Netherlands
E. J. Davies United Kingdom
SHOJIRO YANO Japan
Ann Georgelas United States
Anna Koutoulaki Greece
Amélien Sanlaville France
Jan Davidson‐Moncada relative to Haizhou Xing China Haizhou Xing's profile →
Citations per field
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Haizhou Xing · 1×
Citations per year

Countries citing papers authored by Jan Davidson‐Moncada

Since Specialization
Citations

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

Fields of papers citing papers by Jan Davidson‐Moncada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jan Davidson‐Moncada. 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 Jan Davidson‐Moncada. The network helps show where Jan Davidson‐Moncada may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010143
2 202053
3 201836
4 201533
5 201824
6 200217
7 201916
8 201814
9 201914
10 202312
11 202312
12 200212
13 201812
14 201811
15 202211
16 201710
17 201710
18 20128
19 20207
20 20147

About Jan Davidson‐Moncada

Jan Davidson‐Moncada is a scholar working on Oncology, Immunology, Hematology, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 50 papers that have together received 529 indexed citations. Recurring topics across this work include CAR-T cell therapy research (28 papers), Immune Cell Function and Interaction (16 papers), Acute Myeloid Leukemia Research (13 papers), Immune cells in cancer (8 papers), Gastric Cancer Management and Outcomes (6 papers), Cancer Genomics and Diagnostics (3 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers) and Cancer Immunotherapy and Biomarkers (3 papers). The work is most often cited by research in Immunology (214 citations), Oncology (220 citations), Hematology (80 citations), Cancer Research (104 citations) and Gastroenterology (19 citations). Jan Davidson‐Moncada has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Wayne Tam, F. Nina Papavasiliou, Richard Childs, Cynthia E. Dunbar, Robert Reger, Guillermo López‐Lluch, Lodewijk V. Dekker, Kate Stringaris, Sergio Rutella and Peter L. Choyke. Their work appears in journals such as Blood, Journal of Clinical Oncology, Annals of Oncology, HemaSphere 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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