Daniel E. Szumlas

22 papers receiving 701 citations

Peers

Daniel E. Szumlas
Comparison fields: 5 of 49
  • Parasitology 392
  • Infectious Diseases 358
  • Insect Science 139
  • Public Health, Environmental and Occupational Health 256
  • Ecology, Evolution, Behavior and Systematics 149
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Maria D. Esteve‐Gasent United States
Sırrı Kar Türkiye
Kai Ling Kho Malaysia
Alessandra Scofield Brazil
Cláudio Mafra Brazil
Tiong Kai Tan Malaysia
Viviana Domenica Tarallo Italy
Magda M. Abbassy Egypt
Maureen Laroche France
Duangporn Phulsuksombati Thailand
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Citations per year

Countries citing papers authored by Daniel E. Szumlas

Since Specialization
Citations

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

Fields of papers citing papers by Daniel E. Szumlas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006131
2 2006131
3 200771
4 200649
5 200649
6 201141
7 199634
8 201731
9 201025
10 200925
11 200223
12 200322
13 199621
14 200620
15 201016
16 199013
17 201712
18 20149
19
Laboratory demonstration of the acquisition and development of leishmania major in the sand fly Phlebotomus kazeruni (Diptera: Psychodidae).
20076
20 20082

About Daniel E. Szumlas

Daniel E. Szumlas is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases, Plant Science, Parasitology and Ecology, Evolution, Behavior and Systematics, having authored 22 papers that have together received 733 indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (9 papers), Viral Infections and Vectors (9 papers), Insect Pest Control Strategies (6 papers), Bartonella species infections research (4 papers), Vector-borne infectious diseases (4 papers), Malaria Research and Control (3 papers), Research on Leishmaniasis Studies (3 papers) and Trypanosoma species research and implications (2 papers). The work is most often cited by research in Parasitology (392 citations), Infectious Diseases (358 citations), Insect Science (139 citations), Public Health, Environmental and Occupational Health (256 citations) and Ecology, Evolution, Behavior and Systematics (149 citations). Daniel E. Szumlas has collaborated with scholars based in United States, Egypt and Ghana. Frequent co-authors include Amanda D. Loftis, Magda M. Abbassy, Ibrahim Helmy, Will K. Reeves, Gregory A. Dasch, Hanafi A. Hanafi, David J. Fryauff, D. B. Francy, Phillip C. Hartig and Todd W. Walker. Their work appears in journals such as Journal of Medical Entomology, Journal of the American Mosquito Control Association, American Journal of Tropical Medicine and Hygiene, Experimental and Applied Acarology and Tropical Medicine & International Health.

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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