Alexander Bürkle

12.1k citations
205 papers · 8.7k indexed · h-index 53

Impact in

  • Aging top 0.5%
    • Genetics, Aging, and Longevity in Model Organisms
  • Oncology top 0.5%
    • PARP inhibition in cancer therapy

Papers in

    • Genetics, Aging, and Longevity in Model Organisms 11
    • PARP inhibition in cancer therapy 93

Alexander Bürkle

202 papers receiving 8.6k citations

Peers

Alexander Bürkle
Comparison fields: 5 of 170
  • Aging 353
  • Oncology 3.6k
  • Physiology 509
  • Geriatrics and Gerontology 375
  • Molecular Biology 4.8k
Replace Zhaohui Feng with:
Zhaohui Feng United States
Maria Rosa Ciriolo Italy
Carlotta Giorgi Italy
Jeffrey E. Pessin United States
Zheng Dong United States
Charles Burant United States
Steven J. Sollott United States
Akiyoshi Fukamizu Japan
Mariusz R. Wiȩckowski Poland
Hozumi Motohashi Japan
Alexander Bürkle relative to Zhaohui Feng United States Zhaohui Feng's profile →
Citations per field
00.5×3.7×
Zhaohui Feng · 1×
Citations per year

Countries citing papers authored by Alexander Bürkle

Since Specialization
Citations

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

Fields of papers citing papers by Alexander Bürkle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20231
2 202116
3 20206
4 20195
5 201816
6 201825
7 201712
8 20152
9 201530
10 201416
11 201339
12 201286
13 201269
14 201024
15 200882
16 200857
17 200876
18 2008178
19 20024
20 199392

About Alexander Bürkle

Alexander Bürkle is a scholar working on Aging, Oncology, Behavioral Neuroscience, Molecular Biology and Biological Psychiatry, having authored 205 papers that have together received 8.7k indexed citations. Recurring topics across this work include PARP inhibition in cancer therapy (93 papers), DNA Repair Mechanisms (77 papers), Cell death mechanisms and regulation (17 papers), Integrated Circuits and Semiconductor Failure Analysis (15 papers), Toxin Mechanisms and Immunotoxins (15 papers), Telomeres, Telomerase, and Senescence (12 papers), Genetics, Aging, and Longevity in Model Organisms (11 papers) and Carcinogens and Genotoxicity Assessment (11 papers). The work is most often cited by research in Aging (353 citations), Oncology (3.6k citations), Physiology (509 citations), Geriatrics and Gerontology (375 citations) and Molecular Biology (4.8k citations). Alexander Bürkle has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Sascha Beneke, Aswin Mangerich, María Moreno‐Villanueva, Marcus Müller, László Virág, A. Hartwig, Claudio Franceschi, Monika Asmuß, Jan‐Heiner Küpper and Gilbert de Murcia. Their work appears in journals such as Mechanisms of Ageing and Development, Experimental Gerontology, Nucleic Acids Research, International Journal of Cancer and Archives of Toxicology.

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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