M. Chaffer

1.7k citations
37 papers · 1.3k indexed · 1 hit paper · h-index 18

M. Chaffer

37 papers receiving 1.2k citations

Hit Papers

Protein Kinase G Induces an Immune Response in Cows Expos...214201820262020202350100150200

Peers

M. Chaffer
Comparison fields: 5 of 119
  • Agronomy and Crop Science 796
  • Microbiology 278
  • Food Science 482
  • Endocrinology 102
  • Small Animals 120
Replace Hajime Nagahata with:
Hajime Nagahata Japan
Hidetoshi Higuchi Japan
P. Dubreuil Canada
Jai‐Wei Lee Taiwan
V. Bronzo Italy
Alice Maria Melville Paiva Della Libera Brazil
Kazuhiro Kawai Japan
Thiago M. A. Santos United States
Emilia Bagnicka Poland
Amit Kumar India
M. Chaffer relative to Hajime Nagahata Japan Hajime Nagahata's profile →
Citations per field
00.5×3.6×
Hajime Nagahata · 1×
Citations per year

Countries citing papers authored by M. Chaffer

Since Specialization
Citations

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

Fields of papers citing papers by M. Chaffer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20185
2 201747
3 201717
4 201612
5 201679
6 201515
7 20152
8 201410
9 200514
10 200527
11 200456
12 2004148
13
Determination of udder health in camels (Camelus dromedarius).
20004
14 200026
15 200048
16 2000107
17 199972
18 19997
19 199722
20 199432

About M. Chaffer

M. Chaffer is a scholar working on Agronomy and Crop Science, Microbiology, Endocrinology, Small Animals and Food Science, having authored 37 papers that have together received 1.3k indexed citations. Recurring topics across this work include Milk Quality and Mastitis in Dairy Cows (17 papers), Mycobacterium research and diagnosis (10 papers), Microbial infections and disease research (9 papers), Probiotics and Fermented Foods (6 papers), Infant Nutrition and Health (4 papers), Infectious Diseases and Mycology (4 papers), Tuberculosis Research and Epidemiology (3 papers) and Botulinum Toxin and Related Neurological Disorders (3 papers). The work is most often cited by research in Agronomy and Crop Science (796 citations), Microbiology (278 citations), Food Science (482 citations), Endocrinology (102 citations) and Small Animals (120 citations). M. Chaffer has collaborated with scholars based in Israel, Canada and Poland. Frequent co-authors include Gabriel Leitner, A. Saran, Greg Keefe, A. Glickman, E. Ezra, M. Winkler, Oleg Krifucks, Melissa Richard‐Greenblatt, Eviatar Bach and Horacio Bach. Their work appears in journals such as Journal of Dairy Science, Small Ruminant Research, Veterinary Immunology and Immunopathology, Journal of Dairy Research and Avian Pathology.

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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