Anke Neumann

45 papers receiving 1.3k citations

Peers

Anke Neumann
Comparison fields: 5 of 136
  • Family Practice 86
  • Geriatrics and Gerontology 84
  • Cardiology and Cardiovascular Medicine 336
  • Internal Medicine 49
  • Toxicology 42
Replace Mark de Groot with:
Mark de Groot Netherlands
Satoshi Suzuki Japan
Charlotte Manisty United Kingdom
Bing Li China
Eric L. Johnson United States
Gerard van Herpen Netherlands
Shota Hamada Japan
Michael A. Pfeffer United States
Donald T. Hess United States
Alexander Meyer Germany
Anke Neumann relative to Mark de Groot Netherlands Mark de Groot's profile →
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Citations per year

Countries citing papers authored by Anke Neumann

Since Specialization
Citations

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

Fields of papers citing papers by Anke Neumann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012226
2 2005117
3 2010106
4 2008105
5 201990
6 201087
7 200175
8 200951
9 201946
10 199841
11 201537
12 201831
13 200529
14 201627
15 201827
16 201126
17 202226
18 202425
19 201123
20 201323

About Anke Neumann

Anke Neumann is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Epidemiology, Economics and Econometrics and Surgery, having authored 48 papers that have together received 1.4k indexed citations. Recurring topics across this work include Meningioma and schwannoma management (5 papers), Health Systems, Economic Evaluations, Quality of Life (5 papers), Antiplatelet Therapy and Cardiovascular Diseases (4 papers), Pituitary Gland Disorders and Treatments (4 papers), Heart Failure Treatment and Management (4 papers), Atrial Fibrillation Management and Outcomes (4 papers), Semiconductor Quantum Structures and Devices (3 papers) and Photonic Crystals and Applications (3 papers). The work is most often cited by research in Family Practice (86 citations), Geriatrics and Gerontology (84 citations), Cardiology and Cardiovascular Medicine (336 citations), Internal Medicine (49 citations) and Toxicology (42 citations). Anke Neumann has collaborated with scholars based in France, Germany and United States. Frequent co-authors include Alain Weill, H. Allemand, P. Ricordeau, François Alla, Jean‐Paul Fagot, Philippe Tuppin, Nicolas Danchin, Christine de Peretti, Cécile Billionnet and Jöel Coste. Their work appears in journals such as Pharmacoepidemiology and Drug Safety, Archives of cardiovascular diseases, Scientific Reports, Circulation Cardiovascular Quality and Outcomes and Diabetes & Metabolism.

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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