L. Fish

416 citations
17 papers · 337 · h-index 10

Impact in

Papers in

L. Fish

17 papers receiving 311 citations

Peers

L. Fish
Comparison fields: 5 of 38
  • Parasitology 291
  • Ecology, Evolution, Behavior and Systematics 113
  • Infectious Diseases 76
  • Insect Science 49
  • Agronomy and Crop Science 29
Replace Igor A. Savitsky with:
Igor A. Savitsky Israel
Rosemary M. Saya Kenya
J. R. A. Brandt Belgium
Vladislav A. Lobanov Canada
Masayoshi Isezaki Japan
Joseph Ssebwana Katende Uganda
Xiangfen Yuan China
Fredrick Kabi Uganda
Julius Osaso Kenya
Abolghasem Naghibi Iran
L. Fish relative to Igor A. Savitsky Israel Igor A. Savitsky's profile →
Citations per field
00.5×1.6×
Igor A. Savitsky · 1×
Citations per year

Countries citing papers authored by L. Fish

Since Specialization
Citations

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

Fields of papers citing papers by L. Fish

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside L. Fish, 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 L. Fish Line = papers co-authored together L. Fish links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 200358
2 200257
3 200331
4 200828
5 200526
6 200824
7 199423
8 201516
9 201116
10 200212
11 197910
12 20039
13 20088
14 19967
15 19846
16 20075
17
Evaluation of the Combined Formulation of Parvaquone and Frusemide (Fruvexon) in the Treatment of Experimental Tropical Theileriosis
20101

About L. Fish

L. Fish is a scholar working on Parasitology, Ecology, Evolution, Behavior and Systematics, Animal Science and Zoology, Immunology and Infectious Diseases, having authored 17 papers that have together received 337 indexed citations. Recurring topics across this work include Vector-borne infectious diseases (10 papers), Vector-Borne Animal Diseases (9 papers), Parasitic Infections and Diagnostics (5 papers), Toxoplasma gondii Research Studies (5 papers), Coccidia and coccidiosis research (3 papers), Viral Infections and Vectors (3 papers), Toxin Mechanisms and Immunotoxins (3 papers) and Meat and Animal Product Quality (1 paper). The work is most often cited by research in Parasitology (291 citations), Ecology, Evolution, Behavior and Systematics (113 citations), Infectious Diseases (76 citations), Insect Science (49 citations) and Agronomy and Crop Science (29 citations). L. Fish has collaborated with scholars based in Israel, United States and Uzbekistan. Frequent co-authors include Varda Shkap, E. Pipano, Timothy V. Baszler, Igor A. Savitsky, F. Galker, Monica Leszkowicz Mazuz, Michael Samish, Terry F. McElwain, Thea Molad and Jitender Prakash Dubey. Their work appears in journals such as Veterinary Parasitology, Vaccine, Clinical and Vaccine Immunology, Experimental and Applied Acarology 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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