Anna Kettermann

2.1k citations
27 papers · 1.4k · h-index 15

Impact in

Papers in

Anna Kettermann

27 papers receiving 1.3k citations

Peers

Anna Kettermann
Comparison fields: 5 of 109
  • Pulmonary and Respiratory Medicine 1.0k
  • Urology 95
  • Statistics and Probability 58
  • Cancer Research 71
  • Endocrinology, Diabetes and Metabolism 75
Replace S. BRATELL with:
S. BRATELL Sweden
Niccolò Passoni United States
Larry Goldenberg Canada
Libni Eapen Canada
H. Ballentine Carter United States
Peter Ka‐Fung Chiu Hong Kong
Robert W. Galbreath United States
Alexandré Pelzer Austria
Jan-Erik Johansson Sweden
Benjamin J. Davies United States
Anna Kettermann relative to S. BRATELL Sweden S. BRATELL's profile →
Citations per field
00.5×
S. BRATELL · 1×
Citations per year

Countries citing papers authored by Anna Kettermann

Since Specialization
Citations

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

Fields of papers citing papers by Anna Kettermann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006324
2 2007250
3 2010202
4 2009109
5 200992
6 200974
7 200750
8 201349
9 200947
10 200737
11 200834
12 202132
13 201427
14 200922
15 200920
16 202314
17 200811
18 201110
19 20108
20 20088

About Anna Kettermann

Anna Kettermann is a scholar working on Pulmonary and Respiratory Medicine, Endocrinology, Diabetes and Metabolism, Economics and Econometrics, Statistics and Probability and Molecular Biology, having authored 27 papers that have together received 1.4k indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (18 papers), Prostate Cancer Treatment and Research (5 papers), Hormonal and reproductive studies (3 papers), Statistical Methods in Clinical Trials (3 papers), Hepatitis B Virus Studies (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Diabetes Management and Research (1 paper) and Immunotherapy and Immune Responses (1 paper). The work is most often cited by research in Pulmonary and Respiratory Medicine (1.0k citations), Urology (95 citations), Statistics and Probability (58 citations), Cancer Research (71 citations) and Endocrinology, Diabetes and Metabolism (75 citations). Anna Kettermann has collaborated with scholars based in United States. Frequent co-authors include E. Jeffrey Metter, Patricia Landis, Jonathan I. Epstein, Luigi Ferrucci, Patrick C. Walsh, Stacy Loeb, H. Ballentine Carter, Bruce J. Trock, H. Ballentine Carter and Christopher A. Warlick. Their work appears in journals such as The Journal of Urology, JNCI Journal of the National Cancer Institute, European Urology, British Journal of Urology and Urology.

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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