Peter Hillmen

1.4k citations
50 papers · 686 · h-index 11

Impact in

  • Genetics top 5%
    • Chronic Lymphocytic Leukemia Research
  • Nephrology top 5%
    • Renal Diseases and Glomerulopathies

Papers in

    • Chronic Lymphocytic Leukemia Research 26
    • Coagulation, Bradykinin, Polyphosphates, and Angioedema 4
    • Complement system in diseases 18
    • Immunodeficiency and Autoimmune Disorders 7

Peter Hillmen

47 papers receiving 663 citations

Peers

Peter Hillmen
Comparison fields: 5 of 62
  • Genetics 192
  • Nephrology 128
  • Hematology 199
  • Immunology 352
  • Physiology 42
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Citations per field
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Citations per year

Countries citing papers authored by Peter Hillmen

Since Specialization
Citations

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

Fields of papers citing papers by Peter Hillmen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Peter Hillmen, 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 Hillmen Line = papers co-authored together Peter Hillmen 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 2006170
2 2010154
3 200994
4 200059
5 201534
6 199215
7 200613
8 200612
9 200612
10 200610
11 201310
12 20008
13 20068
14 20248
15 20217
16
Achieving a MRD negative response after alemtuzumab for CLL is the best predictor for prolonged survival
20035
17 20234
18
The initial report of the bloodwise tap clarity study combining ibrutinib and venetoclax in relapsed, refractory Cll shows acceptable safety and promising early indications of efficacy.
20174
19 20074
20 20064

About Peter Hillmen

Peter Hillmen is a scholar working on Genetics, Immunology, Pathology and Forensic Medicine, Hematology and Molecular Biology, having authored 50 papers that have together received 686 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (26 papers), Complement system in diseases (18 papers), Lymphoma Diagnosis and Treatment (12 papers), Blood groups and transfusion (7 papers), Immunodeficiency and Autoimmune Disorders (7 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (4 papers), Acute Lymphoblastic Leukemia research (4 papers) and Renal Diseases and Glomerulopathies (4 papers). The work is most often cited by research in Genetics (192 citations), Nephrology (128 citations), Hematology (199 citations), Immunology (352 citations) and Physiology (42 citations). Peter Hillmen has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Stephen J. Richards, Russell P. Rother, Anita Hill, Richard Kelly, Mary Jane Cullen, L Arnold, Irene Roberts, Ιoannis Kotsianidis, D. Mark Layton and Yusuke Maeda. Their work appears in journals such as Blood, Journal of Clinical Oncology, Haematologica, British Journal of Haematology and International Journal of Molecular Sciences.

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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