Anke Hannemann

6.1k citations
106 papers · 2.3k indexed · h-index 26

Impact in

Papers in

Anke Hannemann

101 papers receiving 2.3k citations

Peers

Anke Hannemann
Comparison fields: 5 of 126
  • Endocrinology, Diabetes and Metabolism 907
  • Orthopedics and Sports Medicine 234
  • Behavioral Neuroscience 95
  • Genetics 215
  • Biological Psychiatry 39
Replace B. Seriolo with:
B. Seriolo Italy
Yong Gao China
Massimo Giusti Italy
Melanie A. Lane United States
Max Reinshagen Germany
Erik Biroš Australia
Min‐Jung Kwon South Korea
Camilo Silva Spain
Svetlana Ten United States
Micha J. Rapoport Israel
Anke Hannemann relative to B. Seriolo Italy B. Seriolo's profile →
Citations per field
00.5×1.5×2.5×
B. Seriolo · 1×
Citations per year

Countries citing papers authored by Anke Hannemann

Since Specialization
Citations

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

Fields of papers citing papers by Anke Hannemann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20236
4 20230
5 20203
6 201831
7 201723
8 20171
9 201620
10 201510
11 201542
12 201511
13 2015108
14 201521
15 201313
16 20137
17 201310
18 201129
19 201016
20
Bevölkerungsentwicklung in Deutschland bis 2050: nur leichter Rückgang der Einwohnerzahl?
20072

About Anke Hannemann

Anke Hannemann is a scholar working on Behavioral Neuroscience, Genetics, Orthopedics and Sports Medicine, Endocrinology, Diabetes and Metabolism and Nephrology, having authored 106 papers that have together received 2.3k indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (20 papers), Erythrocyte Function and Pathophysiology (19 papers), Hormonal Regulation and Hypertension (19 papers), Vitamin D Research Studies (14 papers), Bone health and osteoporosis research (13 papers), Stress Responses and Cortisol (11 papers), Bone health and treatments (11 papers) and Neonatal Health and Biochemistry (10 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (907 citations), Orthopedics and Sports Medicine (234 citations), Behavioral Neuroscience (95 citations), Genetics (215 citations) and Biological Psychiatry (39 citations). Anke Hannemann has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Henri Wallaschofski, Matthias Nauck, Henry Völzke, Rainer Rettig, John S. Gibson, David C. Rees, Nele Friedrich, Martín Reincke, Hans J. Grabe and Peter W. Flatman. Their work appears in journals such as European Journal of Endocrinology, The Journal of Clinical Endocrinology & Metabolism, Hormone and Metabolic Research, Clinical Chemistry and Laboratory Medicine (CCLM) and Pflügers Archiv - European Journal of Physiology.

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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