Ulrika Morris

1.1k citations
23 papers · 480 · h-index 14

Impact in

Papers in

Ulrika Morris

22 papers receiving 472 citations

Peers

Ulrika Morris
Comparison fields: 5 of 47
  • Public Health, Environmental and Occupational Health 417
  • Parasitology 50
  • Applied Microbiology and Biotechnology 4
  • Endocrinology 11
  • Immunology 33
Replace Berit Aydin-Schmidt with:
Berit Aydin-Schmidt Sweden
Béatrice Volney French Guiana
Simone Ladeia-Andrade Brazil
Johanna Helena Kattenberg Belgium
Christopher Delgado-Ratto Belgium
Awa B. Dème Senegal
Zuleima Pava Australia
Dragan Ljolje United States
Felista Mwingira Tanzania
Stella M. Chenet Peru
Ulrika Morris relative to Berit Aydin-Schmidt Sweden Berit Aydin-Schmidt's profile →
Citations per field
00.5×1.5×
Berit Aydin-Schmidt · 1×
Citations per year

Countries citing papers authored by Ulrika Morris

Since Specialization
Citations

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

Fields of papers citing papers by Ulrika Morris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201955
2 201349
3 201344
4 201542
5 201541
6 201333
7 202029
8 202127
9 201724
10 201823
11 202022
12 201219
13 201518
14 202013
15 20209
16 20208
17 20228
18 20217
19 20194
20 20183

About Ulrika Morris

Ulrika Morris is a scholar working on Public Health, Environmental and Occupational Health, Computational Theory and Mathematics, Endocrinology, Immunology and Infectious Diseases, having authored 23 papers that have together received 480 indexed citations. Recurring topics across this work include Malaria Research and Control (23 papers), Mosquito-borne diseases and control (8 papers), Computational Drug Discovery Methods (2 papers), Complement system in diseases (2 papers), Vibrio bacteria research studies (2 papers), Evolution and Genetic Dynamics (1 paper), Research on Leishmaniasis Studies (1 paper) and Vector-borne infectious diseases (1 paper). The work is most often cited by research in Public Health, Environmental and Occupational Health (417 citations), Parasitology (50 citations), Applied Microbiology and Biotechnology (4 citations), Endocrinology (11 citations) and Immunology (33 citations). Ulrika Morris has collaborated with scholars based in Sweden, Tanzania and United States. Frequent co-authors include Anders Björkman, Berit Aydin-Schmidt, Andreas Mårtensson, Mwinyi Msellem, Max Petzold, Delér Shakely, Abdullah Ali, Billy Ngasala, Jackie Cook and José Pedro Gil. Their work appears in journals such as Malaria Journal, PLoS ONE, American Journal of Tropical Medicine and Hygiene, BMC Medicine and Infection Genetics and Evolution.

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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