E. Pipano

1.9k citations
90 papers · 1.7k · h-index 26

Impact in

Papers in

E. Pipano

85 papers receiving 1.5k citations

Peers

E. Pipano
Comparison fields: 5 of 54
  • Parasitology 1.6k
  • Ecology, Evolution, Behavior and Systematics 669
  • Insect Science 372
  • Infectious Diseases 485
  • Virology 62
Replace Gerald Μ. Buening with:
Gerald Μ. Buening United States
M Ristić United States
B.A. Allsopp South Africa
E. Schein Germany
Erich Zweygarth South Africa
Roger W. Stich United States
John W. Thomford United States
F R Rurangirwa Kenya
Múcio Flávio Barbosa Ribeiro Brazil
Will L. Goff United States
E. Pipano relative to Gerald Μ. Buening United States Gerald Μ. Buening's profile →
Citations per field
00.5×1.5×2.2×
Gerald Μ. Buening · 1×
Citations per year

Countries citing papers authored by E. Pipano

Since Specialization
Citations

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

Fields of papers citing papers by E. Pipano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992143
2 199177
3 198866
4 199860
5 200359
6 200257
7 199556
8 198856
9 199654
10 198148
11 199838
12 200036
13 199435
14 198734
15 200331
16 200030
17 197230
18
Fluorescent antibody tests for Babesia bigemina and B. berbera.
197230
19 198429
20 198628

About E. Pipano

E. Pipano is a scholar working on Parasitology, Ecology, Evolution, Behavior and Systematics, Immunology, Insect Science and Microbiology, having authored 90 papers that have together received 1.7k indexed citations. Recurring topics across this work include Vector-borne infectious diseases (57 papers), Vector-Borne Animal Diseases (34 papers), Toxin Mechanisms and Immunotoxins (21 papers), Insect and Pesticide Research (20 papers), Toxoplasma gondii Research Studies (20 papers), Parasitic Infections and Diagnostics (18 papers), Microbial infections and disease research (11 papers) and Viral Infections and Vectors (8 papers). The work is most often cited by research in Parasitology (1.6k citations), Ecology, Evolution, Behavior and Systematics (669 citations), Insect Science (372 citations), Infectious Diseases (485 citations) and Virology (62 citations). E. Pipano has collaborated with scholars based in Israel, United States and Kenya. Frequent co-authors include Varda Shkap, Michael Samish, Guy H. Palmer, Morris Goldman, L. Fish, Gad Baneth, William C. Davis, T C McGuire, Donald P. Knowles and Hanna Ungar‐Waron. Their work appears in journals such as Veterinary Parasitology, Tropical Animal Health and Production, Research in Veterinary Science, Veterinary Immunology and Immunopathology and Journal of 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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