Philip Dammann

1.1k citations
26 papers · 635 · h-index 17

Impact in

  • Aging top 2%
    • Genetics, Aging, and Longevity in Model Organisms
    • Evolution and Paleontology Studies

Papers in

Philip Dammann

24 papers receiving 617 citations

Peers

Philip Dammann
Comparison fields: 5 of 108
  • Aging 123
  • Paleontology 140
  • Developmental Biology 27
  • Ecology, Evolution, Behavior and Systematics 147
  • Ecology 157
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Orin B. Mock United States
Maxim V. Gerashchenko United States
Arne Sahm Germany
Cheng‐Wei Wu Canada
Mauricio Torres United States
Jean‐Louis Rouanet France
Alberto Lanfranchi Italy
Antonio Jordán‐Pla Spain
Daniela S. Rivera Chile
Shana L. Geffeney United States
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Citations per field
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Orin B. Mock · 1×
Citations per year

Countries citing papers authored by Philip Dammann

Since Specialization
Citations

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

Fields of papers citing papers by Philip Dammann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202184
2 200662
3 200861
4 201160
5 201841
6 200441
7 201132
8 201729
9 201124
10 201524
11 201624
12 200724
13 201421
14 201420
15 202118
16 202116
17 201816
18 201111
19 20149
20 20228

About Philip Dammann

Philip Dammann is a scholar working on Ecology, Evolution, Behavior and Systematics, Paleontology, Ecology, Aging and Molecular Biology, having authored 26 papers that have together received 635 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (8 papers), Evolution and Paleontology Studies (8 papers), Bat Biology and Ecology Studies (8 papers), Animal Ecology and Behavior Studies (3 papers), Physiological and biochemical adaptations (3 papers), Intracranial Aneurysms: Treatment and Complications (2 papers), Mitochondrial Function and Pathology (2 papers) and Birth, Development, and Health (2 papers). The work is most often cited by research in Aging (123 citations), Paleontology (140 citations), Developmental Biology (27 citations), Ecology, Evolution, Behavior and Systematics (147 citations) and Ecology (157 citations). Philip Dammann has collaborated with scholars based in Germany, Czechia and Netherlands. Frequent co-authors include Hynek Burda, Sabine Begall, Arne Sahm, Radim Šumbera, André Scherag, Susanne Holtze, Thomas B. Hildebrandt, Karol Szafranski, Simone Lange and Steve Hoffmann. Their work appears in journals such as PLoS ONE, Frontiers in Molecular Biosciences, DNA and Cell Biology, Biology Letters and Laboratory Animals.

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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