Henning Cammann

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

Impact in

Papers in

Henning Cammann

41 papers receiving 1.0k citations

Peers

Henning Cammann
Comparison fields: 5 of 114
  • Pulmonary and Respiratory Medicine 661
  • Statistics and Probability 131
  • Health Informatics 17
  • Cancer Research 162
  • Health Information Management 33
Replace Samuel Aronson with:
Samuel Aronson United States
Jennifer A. Sinnott United States
Larry Goldenberg Canada
Ugo Giovanni Falagario Italy
Jie Wu China
Andreas Pettersson Sweden
Liisa Määttänen Finland
Travis Gerke United States
Mihai Dorin Vartolomei Romania
Peter Ka‐Fung Chiu Hong Kong
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Citations per field
00.5×4.2×
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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-authorship network

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
#Work
1 20163
2 201415
3 201364
4 201010
5 200911
6 20091
7 200827
8 200815
9 20084
10 20089
11 20081
12 200718
13 200743
14 200630
15 200618
16 20059
17 200527
18 200530
19 20038
20 200233

About Henning Cammann

Henning Cammann is a scholar working on Statistics and Probability, Pulmonary and Respiratory Medicine, Transplantation, Biophysics and Artificial Intelligence, 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 (25 papers), Statistical Methods in Clinical Trials (10 papers), AI in cancer detection (8 papers), Bladder and Urothelial Cancer Treatments (3 papers), Statistical Methods and Inference (3 papers), Obesity, Physical Activity, Diet (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (661 citations), Statistics and Probability (131 citations), Health Informatics (17 citations), Cancer Research (162 citations) and Health Information Management (33 citations). Henning Cammann has collaborated with scholars based in Germany, Canada and United States. Frequent co-authors include Carsten Stephan, Klaus Jung, Michael Lein, Axel Semjonow, Kurt Miller, Hellmuth-A. Meyer, S. Vincendeau, Eleftherios P. Diamandis, A. Houlgatte and Serdar Değer. Their work appears in journals such as Clinical Chemistry, British Journal of Urology, The Prostate, Urology and Biological Chemistry.

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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