M. Kaim
Impact in
- Agronomy and Crop Science top 0.2%
- Reproductive Physiology in Livestock
- Ruminant Nutrition and Digestive Physiology
- Animal Science and Zoology top 0.5%
- Effects of Environmental Stressors on Livestock
Papers in
-
- Reproductive Physiology in Livestock 26
- Ruminant Nutrition and Digestive Physiology 12
- Genetics 13
- Genetic and phenotypic traits in livestock 13
- Co-authors
- Y. Folman (21 shared papers)D. Wolfenson (9 shared papers)Z. Herz (8 shared papers)Miriam Rosenberg (11 shared papers)A. Berman (5 shared papers)R. Braw–Tal (4 shared papers)W. Kaufmann (3 shared papers)H. Neumark (3 shared papers)
- Journals
- Journal of Dairy Science (12 papers)Theriogenology (3 papers)Animal Science (3 papers)Animal Reproduction Science (3 papers)Reproduction (2 papers)
- Partner nations
- IsraelGermanyBangladesh
In The Last Decade
M. Kaim
33 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 69
- Agronomy and Crop Science 1.3k
- Animal Science and Zoology 775
- Small Animals 250
- Genetics 885
- Reproductive Medicine 80
Countries citing papers authored by M. Kaim
This map shows the geographic impact of M. Kaim'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. Kaim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Kaim more than expected).
Fields of papers citing papers by M. Kaim
This network shows the impact of papers produced by M. Kaim. 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. Kaim. The network helps show where M. Kaim may publish in the future.
Co-authors
The 25 scholars most cited alongside M. Kaim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1985 | 327 | |
| 2 | 2004 | 114 | |
| 3 | 1981 | 106 | |
| 4 | 1990 | 102 | |
| 5 | 2003 | 83 | |
| 6 | 2000 | 82 | |
| 7 | 1988 | 76 | |
| 8 | 1994 | 72 | |
| 9 | 2002 | 62 | |
| 10 | 1989 | 62 | |
| 11 | 1983 | 60 | |
| 12 | 1990 | 54 | |
| 13 | 1982 | 52 | |
| 14 | 2016 | 48 | |
| 15 | 1997 | 47 | |
| 16 | 2001 | 43 | |
| 17 | 1984 | 40 | |
| 18 | 2006 | 39 | |
| 19 | 1997 | 36 | |
| 20 | 2019 | 35 |
About M. Kaim
M. Kaim is a scholar working on Agronomy and Crop Science, Genetics, Animal Science and Zoology, Small Animals and Plant Science, having authored 34 papers that have together received 1.7k indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (26 papers), Genetic and phenotypic traits in livestock (13 papers), Effects of Environmental Stressors on Livestock (12 papers), Ruminant Nutrition and Digestive Physiology (12 papers), Animal Behavior and Welfare Studies (4 papers), Reproductive Biology and Fertility (3 papers), Animal health and immunology (2 papers) and Thermoregulation and physiological responses (2 papers). The work is most often cited by research in Agronomy and Crop Science (1.3k citations), Animal Science and Zoology (775 citations), Small Animals (250 citations), Genetics (885 citations) and Reproductive Medicine (80 citations). M. Kaim has collaborated with scholars based in Israel, Germany and Bangladesh. Frequent co-authors include Y. Folman, D. Wolfenson, Z. Herz, Miriam Rosenberg, A. Berman, R. Braw–Tal, W. Kaufmann, H. Neumark, A. Arieli and I. Bruckental. Their work appears in journals such as Journal of Dairy Science, Theriogenology, Animal Science, Animal Reproduction Science and Reproduction.
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.