Judith Behrens

1.8k citations
19 papers · 1.1k · h-index 10

Impact in

  • Hematology top 1%
    • Multiple Myeloma Research and Treatments
  • Genetics top 5%
    • Chronic Lymphocytic Leukemia Research
    • Myeloproliferative Neoplasms: Diagnosis and Treatment

Papers in

Judith Behrens

18 papers receiving 1.1k citations

Peers

Judith Behrens
Comparison fields: 5 of 67
  • Hematology 684
  • Genetics 171
  • Oncology 268
  • Physiology 168
  • Nephrology 39
Replace Eros Di Bona with:
Eros Di Bona Italy
Felix Keil Austria
M. A. Boogaerts Belgium
Claudia C. Folman Netherlands
Isabel Badell Spain
C. G. Geary United Kingdom
Nada Suvajdžić Serbia
Seung‐Ah Yahng South Korea
Münci Yağcı Türkiye
Joel A. Brochstein United States
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Citations per field
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Eros Di Bona · 1×
Citations per year

Countries citing papers authored by Judith Behrens

Since Specialization
Citations

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

Fields of papers citing papers by Judith Behrens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2005351
2 2011222
3 2011174
4 2000140
5 200987
6 200042
7 199740
8 199224
9 199722
10 201213
11 19937
12 20126
13 19976
14
The prevalence of seropositivity for human immunodeficiency virus in patients who have severe trauma.
19926
15 20223
16 20093
17 20122
18 20081
19 20100

About Judith Behrens

Judith Behrens is a scholar working on Hematology, Molecular Biology, Genetics, Pathology and Forensic Medicine and Oncology, having authored 19 papers that have together received 1.1k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (9 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (4 papers), Lymphoma Diagnosis and Treatment (4 papers), Chronic Lymphocytic Leukemia Research (3 papers), Lymphadenopathy Diagnosis and Analysis (2 papers), Mycobacterium research and diagnosis (2 papers), Hemoglobinopathies and Related Disorders (2 papers) and Erythrocyte Function and Pathophysiology (2 papers). The work is most often cited by research in Hematology (684 citations), Genetics (171 citations), Oncology (268 citations), Physiology (168 citations) and Nephrology (39 citations). Judith Behrens has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Gareth J. Morgan, Faith E. Davies, Mark T. Drayson, Bradley Augustson, Janet Dunn, Gulnaz Begum, J. A. Child, Alastair G. Smith, David Greenwood and Chris Rogers. Their work appears in journals such as British Journal of Haematology, British Journal of Dermatology, Journal of Clinical Oncology, Journal of Clinical Pathology and Nature Reviews Nephrology.

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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