Gina Samuelson

777 citations
15 papers · 568 indexed · h-index 8

Gina Samuelson

14 papers receiving 542 citations

Peers

Gina Samuelson
Comparison fields: 5 of 74
  • Immunology and Allergy 235
  • Sensory Systems 97
  • Nephrology 115
  • Hematology 86
  • Neurology 58
Replace Pierangela Castorina with:
Pierangela Castorina Italy
Mariateresa Di Stazio Italy
Sven Guhl Germany
Paul Bossuyt Belgium
Ryusuke Momota Japan
Martin Filipec Czechia
Katsumasa Kitamura Japan
Luís Garcia Alonso Brazil
Noriko Hiraiwa Japan
Bruce Babiarz United States
Gina Samuelson relative to Pierangela Castorina Italy Pierangela Castorina's profile →
Citations per field
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Pierangela Castorina · 1×
Citations per year

Countries citing papers authored by Gina Samuelson

Since Specialization
Citations

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

Fields of papers citing papers by Gina Samuelson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

15 of 15 papers shown
#Work
1 20230
2 202317
3 20225
4 20207
5 20206
6 20201
7 201841
8 199883
9 199641
10 1996284
11 199651
12 19807
13 19793
14
Helminth control in grazing sheep: periodic treatment with levamisole, morantel, cambendazole, and mebendazole.
19745
15
Comparative activity of thiabendazole, levamisole, and parbendazole against natural infections of helminths in sheep.
197117

About Gina Samuelson

Gina Samuelson is a scholar working on Immunology and Allergy, Sensory Systems and Small Animals, having authored 15 papers that have together received 568 indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (8 papers), Hearing, Cochlea, Tinnitus, Genetics (3 papers), Renal Diseases and Glomerulopathies (3 papers), Proteoglycans and glycosaminoglycans research (3 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers), Pesticide Residue Analysis and Safety (2 papers), Veterinary medicine and infectious diseases (2 papers) and Receptor Mechanisms and Signaling (2 papers). The work is most often cited by research in Immunology and Allergy (235 citations), Sensory Systems (97 citations) and Nephrology (115 citations). Gina Samuelson has collaborated with scholars based in United States and Thailand. Frequent co-authors include Dominic Cosgrove, Daniel T. Meehan, James A. Grunkemeyer, William J. Hunter, R. Sayers, Caroline Miller, JoAnn McGee, Edward J. Walsh, Duane Delimont and Michael Anne Gratton. Their work appears in journals such as Hearing Research, The Journal of Pathology, Journal of the American Veterinary Medical Association, Genes & Development and Kidney International.

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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