Danilo Harms

916 citations
64 papers · 574 · h-index 15

Impact in

Papers in

    • Spider Taxonomy and Behavior Studies 35
    • Lepidoptera: Biology and Taxonomy 16
    • Genetic diversity and population structure 13
    • Subterranean biodiversity and taxonomy 28

Danilo Harms

61 papers receiving 561 citations

Peers

Danilo Harms
Comparison fields: 5 of 45
  • Paleontology 279
  • Ecology, Evolution, Behavior and Systematics 233
  • Genetics 299
  • Ecological Modeling 32
  • Nature and Landscape Conservation 82
Replace Amazonas Chagas with:
Amazonas Chagas Brazil
Mark L. I. Judson France
Varpu Vahtera Finland
Axel L. Schönhofer Germany
Abel Pérez‐González Argentina
Nesrine Akkari Austria
Giuseppe Montesanto Italy
Darrell Ubick United States
J. G. E. Lewis United Kingdom
Nobuo Tsurusaki Japan
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Citations per field
00.5×3.4×
Amazonas Chagas · 1×
Citations per year

Countries citing papers authored by Danilo Harms

Since Specialization
Citations

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

Fields of papers citing papers by Danilo Harms

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201947
2 201738
3 201827
4 201823
5 201922
6 200921
7 202121
8 200919
9 201319
10 202317
11 202116
12 201816
13 201815
14 200914
15 201814
16
A fossil tarantula (Araneae: Theraphosidae) from Miocene Chiapas amber, Mexico
200712
17 202211
18 202310
19 202210
20 202110

About Danilo Harms

Danilo Harms is a scholar working on Genetics, Paleontology, Ecology, Evolution, Behavior and Systematics, Molecular Biology and Global and Planetary Change, having authored 64 papers that have together received 574 indexed citations. Recurring topics across this work include Spider Taxonomy and Behavior Studies (35 papers), Subterranean biodiversity and taxonomy (28 papers), Lepidoptera: Biology and Taxonomy (16 papers), Fossil Insects in Amber (14 papers), Genetic diversity and population structure (13 papers), Genomics and Phylogenetic Studies (12 papers), Animal Behavior and Reproduction (9 papers) and Marine Biology and Ecology Research (7 papers). The work is most often cited by research in Paleontology (279 citations), Ecology, Evolution, Behavior and Systematics (233 citations), Genetics (299 citations), Ecological Modeling (32 citations) and Nature and Landscape Conservation (82 citations). Danilo Harms has collaborated with scholars based in Germany, Australia and United States. Frequent co-authors include Mark S. Harvey, Jason A. Dunlop, Nadine Dupérré, Ulrich Kotthoff, Jörg U. Hammel, Volker W. Framenau, J. Dale Roberts, Mark A. Townley, Mladen Kučinić and Stefan Scheu. Their work appears in journals such as Cretaceous Research, Journal of Arachnology, Zootaxa, PeerJ and Zoological Journal of the Linnean Society.

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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