Jennifer Lohr
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms 2
- Genetics top 5%
- Evolution and Genetic Dynamics 6
- Glioma Diagnosis and Treatment 2
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 2
- Immunology top 10%
- Immune cells in cancer 2
- Oncology top 10%
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- Evolutionary Game Theory and Cooperation 4
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- Physiological and biochemical adaptations 3
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- Mathematical and Theoretical Epidemiology and Ecology Models 2
- Co-authors
- Christel Herold‐MendeJustyna WolinskaPhilipp BeckhoveChristoph R. HaagAndreas UnterbergRezvan AhmadiMingbo YinVolker Eckstein
- Cited by
- AgingGeneticsImmunology
- Partner nations
- GermanyUnited KingdomSwitzerland
In The Last Decade
Jennifer Lohr
22 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 106
- Aging 57
- Genetics 307
- Immunology 383
- Oncology 444
- Cancer Research 145
Countries citing papers authored by Jennifer Lohr
This map shows the geographic impact of Jennifer Lohr'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 Jennifer Lohr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer Lohr more than expected).
Fields of papers citing papers by Jennifer Lohr
This network shows the impact of papers produced by Jennifer Lohr. 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 Jennifer Lohr. The network helps show where Jennifer Lohr may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jennifer Lohr, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 1 | |
| 2 | 2020 | 1 | |
| 3 | 2019 | 24 | |
| 4 | 2019 | 32 | |
| 5 | 2019 | 7 | |
| 6 | 2017 | 29 | |
| 7 | 2017 | 7 | |
| 8 | 2014 | 60 | |
| 9 | 2014 | 27 | |
| 10 | 2014 | 24 | |
| 11 | 2012 | 146 | |
| 12 | 2011 | 65 | |
| 13 | 2011 | 272 | |
| 14 | 2011 | 63 | |
| 15 | 2010 | 251 | |
| 16 | 2010 | 48 | |
| 17 | 2010 | 31 | |
| 18 | 2009 | 27 | |
| 19 | 2007 | 24 | |
| 20 | 2006 | 15 |
About Jennifer Lohr
Jennifer Lohr is a scholar working on Aging, Genetics, Physiology, Genetics and Molecular Biology, having authored 22 papers that have together received 1.3k indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (6 papers), Evolutionary Game Theory and Cooperation (4 papers), Physiological and biochemical adaptations (3 papers), Glioma Diagnosis and Treatment (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers), Immune cells in cancer (2 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (2 papers). The work is most often cited by research in Aging (57 citations), Genetics (307 citations), Immunology (383 citations), Oncology (444 citations) and Cancer Research (145 citations). Jennifer Lohr has collaborated with scholars based in Germany, United Kingdom and Switzerland. Frequent co-authors include Christel Herold‐Mende, Justyna Wolinska, Philipp Beckhove, Christoph R. Haag, Andreas Unterberg, Rezvan Ahmadi, Mingbo Yin, Volker Eckstein, Christine Dictus and Christian Laforsch. Their work appears in journals such as Evolution, Clinical Cancer Research, Gene, Insect Science and Parasitology.
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.