H.W. Pees

743 citations
30 papers · 387 · h-index 10

Impact in

  • Virology top 10%
    • HIV Research and Treatment
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology

Papers in

    • Viral-associated cancers and disorders 5
    • Cytomegalovirus and herpesvirus research 5

H.W. Pees

30 papers receiving 354 citations

Peers

H.W. Pees
Comparison fields: 5 of 71
  • Virology 55
  • Immunology 164
  • Oncology 100
  • Hematology 39
  • Genetics 30
Replace Akihiro Masuda with:
Akihiro Masuda Japan
Patricia Palladinetti Australia
M Wrightham United Kingdom
Gluckman Jc France
N Carpentier Switzerland
Takuma Miura Japan
Richard D. Schneiderman United States
Byron P. Croker United States
Rong Xu United States
M.C. Maillot France
H.W. Pees relative to Akihiro Masuda Japan Akihiro Masuda's profile →
Citations per field
00.5×1.5×
Akihiro Masuda · 1×
Citations per year

Countries citing papers authored by H.W. Pees

Since Specialization
Citations

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

Fields of papers citing papers by H.W. Pees

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H.W. Pees. 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 H.W. Pees. The network helps show where H.W. Pees may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197483
2 197657
3 200244
4
Prelabeling target cells with 3 H-proline as a method for studying lymphocyte cytotoxicity.
197339
5 200028
6 199222
7 199613
8
Cell-mediated immune response of patients with meningiomas defined in vitro by a [3H]proline microcytotoxicity test.
197612
9 20079
10 19799
11 20078
12
Acute myelomonocytic leukemia (M4) with eosinophilia: problems concerning chromosome 16 abnormality.
19868
13 19898
14 20036
15 19885
16 19855
17 19755
18 19933
19 19753
20 19773

About H.W. Pees

H.W. Pees is a scholar working on Oncology, Epidemiology, Immunology, Hematology and Pulmonary and Respiratory Medicine, having authored 30 papers that have together received 387 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (5 papers), Viral-associated cancers and disorders (5 papers), Acute Lymphoblastic Leukemia research (5 papers), Immune Cell Function and Interaction (5 papers), Cytomegalovirus and herpesvirus research (5 papers), HIV Research and Treatment (4 papers), Radiopharmaceutical Chemistry and Applications (3 papers) and T-cell and B-cell Immunology (3 papers). The work is most often cited by research in Virology (55 citations), Immunology (164 citations), Oncology (100 citations), Hematology (39 citations) and Genetics (30 citations). H.W. Pees has collaborated with scholars based in Germany, United States and Poland. Frequent co-authors include Harry Grabstald, Herbert F. Oettgen, Michael A. Bean, Jørgen Fogh, P. G. Scheurlen, Urban Sester, Martina Sester, Gerald M. Rosen, Oettgen Hf and Andreas Meyerhans. Their work appears in journals such as Annals of Hematology, Journal of Molecular Medicine, AIDS, Virus Research and British Journal of Cancer.

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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