Henning Cammann

1.4k citations
43 papers · 1.0k · h-index 19

Impact in

Papers in

Henning Cammann

42 papers receiving 1.0k citations

Peers

Henning Cammann
Comparison fields: 5 of 109
  • Pulmonary and Respiratory Medicine 620
  • Cancer Research 135
  • Statistics and Probability 64
  • Health Information Management 18
  • Health Informatics 5
Replace Jennifer A. Sinnott with:
Jennifer A. Sinnott United States
Samuel Aronson United States
Ugo Giovanni Falagario Italy
Larry Goldenberg Canada
Robert E. Parson United States
Peter Ka‐Fung Chiu Hong Kong
Mihai Dorin Vartolomei Romania
Liisa Määttänen Finland
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Citations per field
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Citations per year

Countries citing papers authored by Henning Cammann

Since Specialization
Citations

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

Fields of papers citing papers by Henning Cammann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002111
2 2012107
3 200881
4 201276
5 201366
6 201545
7 200744
8 201538
9 200236
10 200233
11 200530
12 200630
13 200827
14 200526
15
Prostate-Specific Antigen (PSA) Screening and New Biomarkers for Prostate Cancer (PCa).
201424
16 200922
17 200719
18
New markers and multivariate models for prostate cancer detection.
200919
19 200618
20 201118

About Henning Cammann

Henning Cammann is a scholar working on Pulmonary and Respiratory Medicine, Artificial Intelligence, Statistics and Probability, Public Health, Environmental and Occupational Health and Radiology, Nuclear Medicine and Imaging, having authored 43 papers that have together received 1.0k indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (25 papers), Prostate Cancer Treatment and Research (13 papers), AI in cancer detection (6 papers), Statistical Methods in Clinical Trials (5 papers), Obesity, Physical Activity, Diet (3 papers), Cancer, Lipids, and Metabolism (2 papers), Statistical Methods and Inference (2 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (620 citations), Cancer Research (135 citations), Statistics and Probability (64 citations), Health Information Management (18 citations) and Health Informatics (5 citations). Henning Cammann has collaborated with scholars based in Germany, United States and Canada. Frequent co-authors include Carsten Stephan, Klaus Jung, Michael Lein, Axel Semjonow, Kurt Miller, Hellmuth-A. Meyer, A. Houlgatte, Eleftherios P. Diamandis, S. Vincendeau and Serdar Değer. Their work appears in journals such as Clinical Chemistry, British Journal of Urology, The Prostate, Urology and Cancer Letters.

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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