Mario Otto

1.2k citations
32 papers · 899 · h-index 16

Impact in

  • Hematology top 5%
    • Hematopoietic Stem Cell Transplantation
  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses

Papers in

    • Immune Cell Function and Interaction 9
    • T-cell and B-cell Immunology 4
    • Neuroblastoma Research and Treatments 13

Mario Otto

32 papers receiving 890 citations

Peers

Mario Otto
Comparison fields: 5 of 81
  • Hematology 234
  • Immunology 390
  • Neurology 249
  • Oncology 325
  • Urology 55
Replace Marie Favrot with:
Marie Favrot France
P. Preda Italy
Duohui Jing Germany
Tadahiko Kubo Japan
Valeria Rasini Italy
Frédéric Lambert Belgium
Douglas Padley United States
Martine Berreur France
Richard Noppeney Germany
Mario Otto relative to Marie Favrot France Marie Favrot's profile →
Citations per field
00.5×9.2×
Marie Favrot · 1×
Citations per year

Countries citing papers authored by Mario Otto

Since Specialization
Citations

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

Fields of papers citing papers by Mario Otto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014122
2 2010107
3 200777
4 200463
5 200460
6 200359
7 200256
8 202336
9 200536
10 201434
11 200431
12 201128
13 201526
14 201918
15 201518
16 201517
17 201314
18 201713
19 199110
20 201810

About Mario Otto

Mario Otto is a scholar working on Immunology, Neurology, Oncology, Hematology and Molecular Biology, having authored 32 papers that have together received 899 indexed citations. Recurring topics across this work include Neuroblastoma Research and Treatments (13 papers), Immune Cell Function and Interaction (9 papers), CAR-T cell therapy research (7 papers), Hematopoietic Stem Cell Transplantation (6 papers), T-cell and B-cell Immunology (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), Nanoplatforms for cancer theranostics (3 papers) and Medical Imaging Techniques and Applications (3 papers). The work is most often cited by research in Hematology (234 citations), Immunology (390 citations), Neurology (249 citations), Oncology (325 citations) and Urology (55 citations). Mario Otto has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Rupert Handgretinger, Raymond Barfield, Thasia Leimig, Stephen D. Gillies, Rekha Iyengar, Wing Leung, James Houston, Terrence L. Geiger, Prashant Sharma and Martha Holladay. Their work appears in journals such as Cytotherapy, Journal of Materials Chemistry B, Journal of Pediatric Hematology/Oncology, Journal of Nuclear Medicine and Journal of Clinical Oncology.

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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