Maik Damm

579 citations
25 papers · 282 · h-index 12

Impact in

  • Virology top 5%
    • Rabies epidemiology and control
  • Paleontology top 10%
    • Marine Invertebrate Physiology and Ecology

Papers in

    • Venomous Animal Envenomation and Studies 21
    • Yersinia bacterium, plague, ectoparasites research 2
    • Rabies epidemiology and control 13

Maik Damm

21 papers receiving 280 citations

Peers

Maik Damm
Comparison fields: 5 of 34
  • Virology 117
  • Paleontology 89
  • Genetics 254
  • Microbiology 27
  • Insect Science 24
Replace Benjamin-Florian Hempel with:
Benjamin-Florian Hempel Germany
Stephen Earl Australia
Tamara Sajevic Slovenia
Jordi Durbán Spain
Ryan J.R. McCleary United States
Vivek Suranse India
R. R. Senji Laxme India
Diana Mora-Obando Colombia
Daniela Solano Costa Rica
Nathaniel Frank Australia
Maik Damm relative to Benjamin-Florian Hempel Germany Benjamin-Florian Hempel's profile →
Citations per field
00.5×1.5×2.2×
Benjamin-Florian Hempel · 1×
Citations per year

Countries citing papers authored by Maik Damm

Since Specialization
Citations

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

Fields of papers citing papers by Maik Damm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202163
2 201825
3 201924
4 202022
5 201819
6 202318
7 202418
8 202316
9 202114
10 202412
11 202212
12 202411
13 20247
14 20245
15 20234
16 20253
17 20253
18
Photometric protein determination in skim milk.
19612
19 20242
20 20251

About Maik Damm

Maik Damm is a scholar working on Genetics, Virology, Paleontology, Molecular Biology and Global and Planetary Change, having authored 25 papers that have together received 282 indexed citations. Recurring topics across this work include Venomous Animal Envenomation and Studies (21 papers), Rabies epidemiology and control (13 papers), Marine Invertebrate Physiology and Ecology (8 papers), Biochemical and Structural Characterization (5 papers), Amphibian and Reptile Biology (4 papers), Antimicrobial Peptides and Activities (2 papers), Yersinia bacterium, plague, ectoparasites research (2 papers) and Insect and Pesticide Research (2 papers). The work is most often cited by research in Virology (117 citations), Paleontology (89 citations), Genetics (254 citations), Microbiology (27 citations) and Insect Science (24 citations). Maik Damm has collaborated with scholars based in Germany, Türkiye and Portugal. Frequent co-authors include Roderich D. Süßmuth, Benjamin-Florian Hempel, Bayram Göçmen, Ayşe Nalbantsoy, Mert Karış, Ayşe Nalbantsoy, Andreas Vilcinskas, Tim Lüddecke, Daniel Petras and Mehmet Oğuz. Their work appears in journals such as Toxins, Journal of Proteome Research, Biochimie, Toxicon and Biotechnology Advances.

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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