Hanh Witte

2.1k citations
43 papers · 1.4k · h-index 22

Impact in

  • Aging top 0.2%
    • Genetics, Aging, and Longevity in Model Organisms
  • Ecology top 5%
    • Parasite Biology and Host Interactions
    • Physiological and biochemical adaptations

Papers in

    • Genetics, Aging, and Longevity in Model Organisms 29
    • Parasite Biology and Host Interactions 14
    • Physiological and biochemical adaptations 6

Hanh Witte

42 papers receiving 1.4k citations

Peers

Hanh Witte
Comparison fields: 5 of 72
  • Aging 758
  • Ecology 547
  • Insect Science 229
  • Plant Science 599
  • Genetics 395
Replace Erik J. Ragsdale with:
Erik J. Ragsdale United States
Marie-Anne Félix France
Matthias Herrmann Germany
Antoine Barrière France
Walter Sudhaus Germany
Ray L. Hong United States
Georgios Koutsovoulos United Kingdom
Ann M. Burnell Ireland
Adrian Streit Germany
L.M. Frisse United States
Hanh Witte relative to Erik J. Ragsdale United States Erik J. Ragsdale's profile →
Citations per field
00.5×1.5×2.2×
Erik J. Ragsdale · 1×
Citations per year

Countries citing papers authored by Hanh Witte

Since Specialization
Citations

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

Fields of papers citing papers by Hanh Witte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008267
2 2014106
3 201975
4 201465
5 201155
6 200852
7 200252
8 201849
9 201849
10 201646
11 202045
12 201542
13 200139
14 202038
15 201837
16 200736
17 201136
18 202034
19 202029
20 201729

About Hanh Witte

Hanh Witte is a scholar working on Aging, Ecology, Plant Science, Molecular Biology and Genetics, having authored 43 papers that have together received 1.4k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (29 papers), Nematode management and characterization studies (16 papers), Parasite Biology and Host Interactions (14 papers), Insect and Arachnid Ecology and Behavior (7 papers), Physiological and biochemical adaptations (6 papers), Chromosomal and Genetic Variations (4 papers), Evolution and Genetic Dynamics (4 papers) and Genomics and Phylogenetic Studies (3 papers). The work is most often cited by research in Aging (758 citations), Ecology (547 citations), Insect Science (229 citations), Plant Science (599 citations) and Genetics (395 citations). Hanh Witte has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Ralf J. Sommer, Christian Rödelsperger, Eduardo Moreno, James W. Lightfoot, Bogdan Sieriebriennikov, Waltraud Roeseler, Christoph Dieterich, Ray L. Hong, Waltraud Röseler and Shuai Sun. Their work appears in journals such as Molecular Biology and Evolution, Genetics, Science Advances, Current Biology and Nature Communications.

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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