Peter Möller

1.2k citations
22 papers · 956 · h-index 14

Impact in

  • Immunology top 5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Immune Response and Inflammation
  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers
    • Pancreatic and Hepatic Oncology Research

Papers in

    • Immune Cell Function and Interaction 5
    • Immunotherapy and Immune Responses 3
    • T-cell and B-cell Immunology 2
    • Immunodeficiency and Autoimmune Disorders 2

Peter Möller

21 papers receiving 922 citations

Peers

Peter Möller
Comparison fields: 5 of 79
  • Immunology 416
  • Oncology 209
  • Transplantation 17
  • Pulmonary and Respiratory Medicine 128
  • Epidemiology 131
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Peter Möller relative to Janet Siebert United States Janet Siebert's profile →
Citations per field
00.5×1.5×2.2×
Janet Siebert · 1×
Citations per year

Countries citing papers authored by Peter Möller

Since Specialization
Citations

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

Fields of papers citing papers by Peter Möller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013282
2 200196
3 201093
4 200967
5 200161
6 200255
7 200155
8 199755
9 198744
10 200238
11 201130
12 201022
13 200920
14 202017
15 20206
16 20006
17 20204
18 20212
19 20191
20 20151

About Peter Möller

Peter Möller is a scholar working on Immunology, Oncology, Epidemiology, Hematology and Molecular Biology, having authored 22 papers that have together received 956 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (5 papers), Immunotherapy and Immune Responses (3 papers), T-cell and B-cell Immunology (2 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), Acute Myeloid Leukemia Research (2 papers), Acute Lymphoblastic Leukemia research (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers) and Congenital Heart Disease Studies (2 papers). The work is most often cited by research in Immunology (416 citations), Oncology (209 citations), Transplantation (17 citations), Pulmonary and Respiratory Medicine (128 citations) and Epidemiology (131 citations). Peter Möller has collaborated with scholars based in Germany, United States and Denmark. Frequent co-authors include Frank Leithäuser, Zlatko Trobonjača, Jörg Reimann, Reinhold Schirmbeck, Guido Adler, Karen Dahlke, Thomas Simmet, Dorit Fabricius, Christof Kaltenmeier and Hubert Schrezenmeier. Their work appears in journals such as The Journal of Immunology, British Journal of Haematology, Journal of Thoracic and Cardiovascular Surgery, Blood and European Journal of Cardio-Thoracic Surgery.

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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