Marcelo Chaffer

1.7k citations
38 papers · 1.4k · h-index 20

Impact in

Papers in

Marcelo Chaffer

38 papers receiving 1.3k citations

Peers

Marcelo Chaffer
Comparison fields: 5 of 115
  • Agronomy and Crop Science 804
  • Endocrinology 58
  • Clinical Biochemistry 31
  • Infectious Diseases 82
  • Neurology 57
Replace Tai‐Young Hur with:
Tai‐Young Hur South Korea
Jerome C. Nietfeld United States
Takahide Taniguchi Japan
Deryck H. Read United States
Michael J. Yaeger United States
María Teresa Tejedor Spain
Ha-Young Kim South Korea
Martin Schulze Germany
Wenming Jiang China
Heather A. Davies United Kingdom
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Citations per field
00.5×2×4×6×8×9.5×
Tai‐Young Hur · 1×
Citations per year

Countries citing papers authored by Marcelo Chaffer

Since Specialization
Citations

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

Fields of papers citing papers by Marcelo Chaffer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018224
2 2004160
3 2000113
4 201686
5 200374
6 199971
7 200168
8 200459
9 201754
10 200050
11 200343
12 199432
13 200528
14 200628
15 201328
16 200227
17 200025
18 200424
19 199722
20 201720

About Marcelo Chaffer

Marcelo Chaffer is a scholar working on Agronomy and Crop Science, Epidemiology, Endocrinology, Neurology and Clinical Biochemistry, having authored 38 papers that have together received 1.4k indexed citations. Recurring topics across this work include Milk Quality and Mastitis in Dairy Cows (19 papers), Mycobacterium research and diagnosis (9 papers), Botulinum Toxin and Related Neurological Disorders (3 papers), Escherichia coli research studies (3 papers), Bacterial Identification and Susceptibility Testing (2 papers), Agricultural Engineering and Mechanization (1 paper), Sepsis Diagnosis and Treatment (1 paper) and Helminth infection and control (1 paper). The work is most often cited by research in Agronomy and Crop Science (804 citations), Endocrinology (58 citations), Clinical Biochemistry (31 citations), Infectious Diseases (82 citations) and Neurology (57 citations). Marcelo Chaffer has collaborated with scholars based in Israel, Canada and United States. Frequent co-authors include Gabriel Leitner, A. Saran, Greg P. Keefe, Anita Glickman, E. Ezra, M. Winkler, Oleg Krifucks, Eviatar Bach, Horacio Bach and Melissa Richard‐Greenblatt. Their work appears in journals such as Journal of Dairy Science, Small Ruminant Research, Veterinary Immunology and Immunopathology, Avian Pathology and PLoS ONE.

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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