Beate Klimm

1.9k citations
32 papers · 1.1k · h-index 17

Impact in

Papers in

Beate Klimm

29 papers receiving 1.1k citations

Peers

Beate Klimm
Comparison fields: 5 of 74
  • Pathology and Forensic Medicine 781
  • Neurology 339
  • Oncology 473
  • Genetics 167
  • Reproductive Medicine 116
Replace Martin Soekler with:
Martin Soekler Germany
C. Cirrincione United States
Corinne Brillant Germany
Silvia Franceschetti Italy
Richard R. Blough United States
P.N. Plowman United Kingdom
Ole Nome Norway
Clíona Grant United States
Sirkku Jyrkkiö Finland
Emmanuelle Fourme France
Beate Klimm relative to Martin Soekler Germany Martin Soekler's profile →
Citations per field
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Citations per year

Countries citing papers authored by Beate Klimm

Since Specialization
Citations

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

Fields of papers citing papers by Beate Klimm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005218
2 2012173
3 201492
4 201177
5 201365
6 200558
7 200157
8 201348
9 200642
10 201342
11 201335
12 201327
13
Current treatment and immunotherapy of Hodgkin's lymphoma.
200527
14 201225
15
Hodgkin's lymphoma in the elderly: a different disease in patients over 60.
200724
16 201118
17 200716
18 200616
19 200515
20 200514

About Beate Klimm

Beate Klimm is a scholar working on Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine, Neurology, Oncology and Genetics, having authored 32 papers that have together received 1.1k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (30 papers), Lung Cancer Treatments and Mutations (14 papers), CNS Lymphoma Diagnosis and Treatment (8 papers), Chronic Lymphocytic Leukemia Research (6 papers), Acute Lymphoblastic Leukemia research (6 papers), Multiple and Secondary Primary Cancers (2 papers), Breast Cancer Treatment Studies (2 papers) and Genetic factors in colorectal cancer (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (781 citations), Neurology (339 citations), Oncology (473 citations), Genetics (167 citations) and Reproductive Medicine (116 citations). Beate Klimm has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Andreas Engert, Volker Diehl, Peter Borchmann, Michael Fuchs, Karolin Behringer, Bastian von Tresckow, Thorsten Reineke, Hans Theodor Eich, L. Wildt and Kai Breuer. Their work appears in journals such as Blood, Journal of Clinical Oncology, Annals of Oncology, Haematologica and The FASEB Journal.

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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