Stephen E. Greiman

1.2k citations
72 papers · 880 · h-index 15

Impact in

Papers in

    • Vector-borne infectious diseases 17
    • Parasites and Host Interactions 9
    • Parasite Biology and Host Interactions 41

Stephen E. Greiman

68 papers receiving 865 citations

Peers

Stephen E. Greiman
Comparison fields: 5 of 81
  • Parasitology 251
  • Ecological Modeling 153
  • Ecology 510
  • Small Animals 123
  • Insect Science 118
Replace Dênis A. Sana with:
Dênis A. Sana Brazil
Ubiratan Piovezan Brazil
Scott E. Henke United States
Joares Adenílson May-Júnior Brazil
Fabiana Lopes Rocha Brazil
Jonas Malmsten Sweden
Grasiela Edith de Oliveira Porfírio Brazil
Mike Heddergott Luxembourg
Ulf Hohmann Germany
Sugoto S. Roy United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Stephen E. Greiman

Since Specialization
Citations

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

Fields of papers citing papers by Stephen E. Greiman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen E. Greiman. 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 Stephen E. Greiman. The network helps show where Stephen E. Greiman may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201975
2 202070
3 202166
4 201666
5 201263
6 201443
7 201334
8 201633
9 201830
10 201225
11 202125
12 201823
13 201220
14 201316
15 202016
16 201612
17 201612
18 201612
19 201311
20
From Museum Cases to the Classroom: Emerging Opportunities for Specimen-based Education
201611

About Stephen E. Greiman

Stephen E. Greiman is a scholar working on Parasitology, Ecology, Insect Science, Ecological Modeling and Infectious Diseases, having authored 72 papers that have together received 880 indexed citations. Recurring topics across this work include Parasite Biology and Host Interactions (41 papers), Vector-borne infectious diseases (17 papers), Viral Infections and Vectors (10 papers), Helminth infection and control (9 papers), Parasites and Host Interactions (9 papers), Study of Mite Species (8 papers), Species Distribution and Climate Change (8 papers) and Yersinia bacterium, plague, ectoparasites research (7 papers). The work is most often cited by research in Parasitology (251 citations), Ecological Modeling (153 citations), Ecology (510 citations), Small Animals (123 citations) and Insect Science (118 citations). Stephen E. Greiman has collaborated with scholars based in United States, Vietnam and Russia. Frequent co-authors include Vasyl V. Tkach, Jefferson A. Vaughan, Joseph A. Cook, Eric E. Pulis, Tyler J. Achatz, Andrew G. Hope, Stephen S. Curran, Eric P. Hoberg, Lance Anthony Durden and Lisa N. Barrow. Their work appears in journals such as Journal of Parasitology, Zootaxa, Parasitology Research, International Journal for Parasitology Parasites and Wildlife and BioScience.

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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