Merry E. Schrumpf

2.6k citations
35 papers · 2.1k · h-index 26

Impact in

Papers in

    • Vector-borne infectious diseases 31
    • Leptospirosis research and findings 2
    • Viral Infections and Vectors 29
    • Dermatological diseases and infestations 3

Merry E. Schrumpf

34 papers receiving 2.0k citations

Peers

Merry E. Schrumpf
Comparison fields: 5 of 57
  • Parasitology 1.9k
  • Infectious Diseases 1.4k
  • Insect Science 468
  • Ecology, Evolution, Behavior and Systematics 625
  • Immunology 242
Replace Robert D. Gilmore with:
Robert D. Gilmore United States
Nataliia Rudenko Czechia
Zhijie Liu China
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Citations per field
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Citations per year

Countries citing papers authored by Merry E. Schrumpf

Since Specialization
Citations

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

Fields of papers citing papers by Merry E. Schrumpf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1986323
2 1996145
3 1997124
4 1988124
5 1990118
6 1989101
7 199392
8 200589
9 198684
10 199170
11 200869
12 200561
13 200358
14 200054
15 200751
16 200949
17 199448
18 200044
19 200737
20 199137

About Merry E. Schrumpf

Merry E. Schrumpf is a scholar working on Parasitology, Infectious Diseases, Ecology, Evolution, Behavior and Systematics, Public Health, Environmental and Occupational Health and Immunology, having authored 35 papers that have together received 2.1k indexed citations. Recurring topics across this work include Vector-borne infectious diseases (31 papers), Viral Infections and Vectors (29 papers), Vector-Borne Animal Diseases (12 papers), Mosquito-borne diseases and control (7 papers), Dermatological diseases and infestations (3 papers), Toxin Mechanisms and Immunotoxins (3 papers), Bacterial Infections and Vaccines (2 papers) and Leptospirosis research and findings (2 papers). The work is most often cited by research in Parasitology (1.9k citations), Infectious Diseases (1.4k citations), Insect Science (468 citations), Ecology, Evolution, Behavior and Systematics (625 citations) and Immunology (242 citations). Merry E. Schrumpf has collaborated with scholars based in United States and Canada. Frequent co-authors include Tom G. Schwan, Alan G. Barbour, W J Simpson, Sandra J. Raffel, R H Karstens, S F Hayes, Willy Burgdorfer, Stephen F. Porcella, Sophie Tessier and Kenneth L. Gage. Their work appears in journals such as Journal of Clinical Microbiology, Infection and Immunity, Emerging infectious diseases, Vector-Borne and Zoonotic Diseases and Clinical and Vaccine Immunology.

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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