Berit Aydin-Schmidt

885 citations
21 papers · 604 · h-index 14

Impact in

Papers in

Berit Aydin-Schmidt

20 papers receiving 591 citations

Peers

Berit Aydin-Schmidt
Comparison fields: 5 of 70
  • Public Health, Environmental and Occupational Health 494
  • Parasitology 66
  • Endocrinology 15
  • Applied Microbiology and Biotechnology 5
  • Virology 9
Replace Ulrika Morris with:
Ulrika Morris Sweden
Dragan Ljolje United States
Awa B. Dème Senegal
Deborah Sumari Tanzania
Bosco Agaba Uganda
Abu Naser Mohon Canada
Luz García Spain
Maxwell Murphy United States
Yaobao Liu China
Eniyou Oriero Gambia
Berit Aydin-Schmidt relative to Ulrika Morris Sweden Ulrika Morris's profile →
Citations per field
00.5×1.5×2.3×
Ulrika Morris · 1×
Citations per year

Countries citing papers authored by Berit Aydin-Schmidt

Since Specialization
Citations

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

Fields of papers citing papers by Berit Aydin-Schmidt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Berit Aydin-Schmidt. 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 Berit Aydin-Schmidt. The network helps show where Berit Aydin-Schmidt may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015103
2 201469
3 201957
4 201349
5 201344
6 201542
7 201541
8 201333
9 202129
10 201229
11 201825
12 201724
13 202015
14 202013
15 201612
16 20106
17 20195
18 20224
19 20183
20 20171

About Berit Aydin-Schmidt

Berit Aydin-Schmidt is a scholar working on Public Health, Environmental and Occupational Health, Computer Vision and Pattern Recognition, Endocrinology, Immunology and Parasitology, having authored 21 papers that have together received 604 indexed citations. Recurring topics across this work include Malaria Research and Control (18 papers), Mosquito-borne diseases and control (7 papers), Digital Imaging for Blood Diseases (2 papers), Vector-borne infectious diseases (2 papers), Vibrio bacteria research studies (2 papers), Plant biochemistry and biosynthesis (1 paper), Research on Leishmaniasis Studies (1 paper) and Complement system in diseases (1 paper). The work is most often cited by research in Public Health, Environmental and Occupational Health (494 citations), Parasitology (66 citations), Endocrinology (15 citations), Applied Microbiology and Biotechnology (5 citations) and Virology (9 citations). Berit Aydin-Schmidt has collaborated with scholars based in Sweden, Tanzania and United States. Frequent co-authors include Andreas Mårtensson, Anders Björkman, Ulrika Morris, Mwinyi Msellem, Abdullah Ali, Delér Shakely, Iveth J. González, Max Petzold, David Bell and Jackie Cook. Their work appears in journals such as Malaria Journal, PLoS ONE, American Journal of Tropical Medicine and Hygiene, BMC Medicine and Journal of Antimicrobial Chemotherapy.

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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