Peter Ahnert

3.4k citations
81 papers · 1.9k · h-index 24

Impact in

  • Genetics top 5%
    • Mesenchymal stem cell research
    • Bacterial Genetics and Biotechnology
    • Genetics and Neurodevelopmental Disorders

Papers in

Peter Ahnert

78 papers receiving 1.8k citations

Peers

Peter Ahnert
Comparison fields: 5 of 139
  • Genetics 248
  • Genetics 308
  • Cancer Research 132
  • Molecular Biology 638
  • Immunology 174
Replace Eric Yi‐Hsiu Huang with:
Eric Yi‐Hsiu Huang Taiwan
Yoshihiko Shimizu Japan
Xiaowei Wei China
Qianyun Chen China
Dong Ryul Lee South Korea
B Noble United Kingdom
Shiting Li China
Rebecca Stewart United Kingdom
Gavin E. Jarvis United Kingdom
James L. Borke United States
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Citations per field
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Eric Yi‐Hsiu Huang · 1×
Citations per year

Countries citing papers authored by Peter Ahnert

Since Specialization
Citations

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

Fields of papers citing papers by Peter Ahnert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013334
2 2007104
3 1997100
4 200069
5 201569
6 200963
7 201259
8 201658
9 201956
10 201145
11 201645
12 200942
13 201940
14 200936
15 201536
16
Acute and chronic effects of winter swimming on LH, FSH, prolactin, growth hormone, TSH, cortisol, serum glucose and insulin.
199536
17 201435
18 201731
19 201431
20 201629

About Peter Ahnert

Peter Ahnert is a scholar working on Molecular Biology, Genetics, Cancer Research, Epidemiology and Genetics, having authored 81 papers that have together received 1.9k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (7 papers), Cancer-related molecular mechanisms research (6 papers), Body Composition Measurement Techniques (5 papers), Pneumonia and Respiratory Infections (5 papers), Meteorological Phenomena and Simulations (4 papers), Genetics and Neurodevelopmental Disorders (4 papers), Reading and Literacy Development (4 papers) and COVID-19 Clinical Research Studies (3 papers). The work is most often cited by research in Genetics (248 citations), Genetics (308 citations), Cancer Research (132 citations), Molecular Biology (638 citations) and Immunology (174 citations). Peter Ahnert has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Holger Kirsten, Smita S. Patel, Markus Scholz, Markus Loeffler, Ridwan Siddique, Wolfgang Krupp, Heidrun Holland, Seann Reed, Alfonso Mejía and Ronald Koschny. Their work appears in journals such as PLoS ONE, Scientific Reports, BMC Genetics, Weather and Forecasting and Clinical Cancer Research.

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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