Kaethe Willms

1.2k citations
55 papers · 1.0k · h-index 18

Impact in

Papers in

Kaethe Willms

55 papers receiving 966 citations

Peers

Kaethe Willms
Comparison fields: 5 of 94
  • Parasitology 448
  • Pathology and Forensic Medicine 529
  • Ecology 258
  • Small Animals 56
  • Insect Science 92
Replace Javier R. Ambrosio with:
Javier R. Ambrosio Mexico
Manigandan Lejeune United States
Luís Miguel González Spain
Kinpei Yagi Japan
Marisela Hernández Mexico
Andrea Toledo Mexico
Jef Brandt Belgium
Rodolfo Paredes Chile
Ibrahim Abbasi Israel
Raúl J. Bobes Mexico
Kaethe Willms relative to Javier R. Ambrosio Mexico Javier R. Ambrosio's profile →
Citations per field
00.5×4.8×
Javier R. Ambrosio · 1×
Citations per year

Countries citing papers authored by Kaethe Willms

Since Specialization
Citations

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

Fields of papers citing papers by Kaethe Willms

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199190
2 199589
3 199168
4 200964
5 199858
6 199049
7 199032
8 198732
9 199828
10 197727
11 198027
12 200426
13 200221
14 201120
15 199020
16 200119
17 200819
18 200818
19 200517
20 199915

About Kaethe Willms

Kaethe Willms is a scholar working on Pathology and Forensic Medicine, Parasitology, Ecology, Molecular Biology and Surgery, having authored 55 papers that have together received 1.0k indexed citations. Recurring topics across this work include Parasitic infections in humans and animals (32 papers), Parasitic Infections and Diagnostics (15 papers), Parasite Biology and Host Interactions (13 papers), Parasites and Host Interactions (7 papers), Congenital Anomalies and Fetal Surgery (6 papers), Mollusks and Parasites Studies (5 papers), Urological Disorders and Treatments (3 papers) and Insects and Parasite Interactions (2 papers). The work is most often cited by research in Parasitology (448 citations), Pathology and Forensic Medicine (529 citations), Ecology (258 citations), Small Animals (56 citations) and Insect Science (92 citations). Kaethe Willms has collaborated with scholars based in Mexico, United States and Japan. Frequent co-authors include Marie Thêrese Merchant, Juan Pedro Laclette, Abraham Landa, Lilia Robert, Michael F. Dunn, Sergio Encarnación‐Guevara, Jaime Mora, Charles B. Shoemaker, M Medina and Rafael Lozano. Their work appears in journals such as Journal of Parasitology, Parasitology Research, Molecular and Biochemical Parasitology, American Journal of Tropical Medicine and Hygiene and Parasitology.

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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