Manuel Schmidt

1.3k citations
50 papers · 1.0k indexed · h-index 14

Impact in

  • Immunology top 5%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • Immune Response and Inflammation
    • Immune cells in cancer
  • Hematology top 5%
    • Chronic Myeloid Leukemia Treatments

Papers in

    • Immunotherapy and Immune Responses 18
    • Immune Cell Function and Interaction 11
    • Immune Response and Inflammation 11
    • Cancer Immunotherapy and Biomarkers 15
    • Lung Cancer Research Studies 5

Manuel Schmidt

48 papers receiving 970 citations

Peers

Manuel Schmidt
Comparison fields: 5 of 69
  • Immunology 603
  • Hematology 214
  • Virology 73
  • Genetics 145
  • Oncology 353
Replace Claude Baillou with:
Claude Baillou France
Suzanne Skoda‐Smith United States
J. Joseph Melenhorst United States
Ido Lubin Israel
D T Fearon United States
Laura Pattacini Italy
Nadia Catalan France
Sambasiva P. Rao United States
T Onuma Japan
Daniel E. Dunn United States
Manuel Schmidt relative to Claude Baillou France Claude Baillou's profile →
Citations per field
00.5×1.5×2.1×
Claude Baillou · 1×
Citations per year

Countries citing papers authored by Manuel Schmidt

Since Specialization
Citations

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

Fields of papers citing papers by Manuel Schmidt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20198
2 201971
3 20171
4 20175
5 20172
6 20165
7 201538
8 20151
9 201411
10 201454
11 20142
12 201464
13 20125
14 20127
15 20101
16 200819
17 200711
18 200554
19 200380
20 199985

About Manuel Schmidt

Manuel Schmidt is a scholar working on Immunology, Oncology, Biotechnology, Hematology and Genetics, having authored 50 papers that have together received 1.0k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (18 papers), Cancer Immunotherapy and Biomarkers (15 papers), Immune Cell Function and Interaction (11 papers), Immune Response and Inflammation (11 papers), Cancer Research and Treatments (9 papers), RNA Interference and Gene Delivery (7 papers), Virus-based gene therapy research (5 papers) and Lung Cancer Research Studies (5 papers). The work is most often cited by research in Immunology (603 citations), Hematology (214 citations), Virology (73 citations), Genetics (145 citations) and Oncology (353 citations). Manuel Schmidt has collaborated with scholars based in Germany, United States and Spain. Frequent co-authors include Burghardt Wittig, Andreas Neubauer, Albert Descoteaux, Jutta Proba, Markus Ritter, Christian Thiede, D. Huhn, Werner Scheithauer, Stefan Nagel and Ivan D. Horak. Their work appears in journals such as Journal of Clinical Oncology, Annals of Oncology, Blood, European Journal of Cancer and Vaccine.

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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