Dana Šumilo

1.2k citations
27 papers · 803 · h-index 15

Impact in

Papers in

Dana Šumilo

25 papers receiving 769 citations

Peers

Dana Šumilo
Comparison fields: 5 of 91
  • Parasitology 307
  • Infectious Diseases 279
  • Public Health, Environmental and Occupational Health 275
  • Endocrinology, Diabetes and Metabolism 127
  • Obstetrics and Gynecology 34
Replace Patti S. Snyder with:
Patti S. Snyder United States
Morena Di Tommaso Italy
Maiza Campos Ponce Netherlands
Landon G. vom Steeg United States
François Kieffer France
Ursula Kunze Austria
Juventus B. Ziem Ghana
Piotr Czupryna Poland
Amy Schwartz United States
Swaib A. Lule United Kingdom
Dana Šumilo relative to Patti S. Snyder United States Patti S. Snyder's profile →
Citations per field
00.5×6.8×
Patti S. Snyder · 1×
Citations per year

Countries citing papers authored by Dana Šumilo

Since Specialization
Citations

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

Fields of papers citing papers by Dana Šumilo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008121
2 2007121
3 201992
4 200962
5 200653
6 200848
7 201947
8 201941
9 201238
10 201836
11 201931
12 200820
13 202018
14 202116
15 200515
16 20227
17 20236
18 20216
19 20196
20 20244

About Dana Šumilo

Dana Šumilo is a scholar working on Public Health, Environmental and Occupational Health, Parasitology, Infectious Diseases, Social Psychology and Pediatrics, Perinatology and Child Health, having authored 27 papers that have together received 803 indexed citations. Recurring topics across this work include Vector-borne infectious diseases (6 papers), Viral Infections and Vectors (4 papers), Mosquito-borne diseases and control (3 papers), Zoonotic diseases and public health (2 papers), Maternal and fetal healthcare (2 papers), Gestational Diabetes Research and Management (1 paper), Intelligent Tutoring Systems and Adaptive Learning (1 paper) and Injury Epidemiology and Prevention (1 paper). The work is most often cited by research in Parasitology (307 citations), Infectious Diseases (279 citations), Public Health, Environmental and Occupational Health (275 citations), Endocrinology, Diabetes and Metabolism (127 citations) and Obstetrics and Gynecology (34 citations). Dana Šumilo has collaborated with scholars based in United Kingdom, Estonia and Lithuania. Frequent co-authors include Antra Bormane, Sarah Randolph, Veera Vasilenko, Loreta Ašoklienė, Irina Golovljova, Krishnarajah Nirantharakumar, Konstantinos A. Toulis, Tatjana Avšič‐Županc, Irina Lucenko and Zdeněk Hubálek. Their work appears in journals such as BMJ Open, BMJ, The Journal of Pediatrics, Reviews in Medical Virology and Health Technology Assessment.

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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