M Kafka
Impact in
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- Reproductive Physiology in Livestock
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- Sperm and Testicular Function
Papers in
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- Cancer therapeutics and mechanisms 2
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- Acute Myeloid Leukemia Research 3
- Co-authors
- Tikva Yermiahu (2 shared papers)Michael J. Friedlander (1 shared paper)E. Bedrak (1 shared paper)Harlan P. Jones (1 shared paper)Ilana Nathan (3 shared papers)A. Dvilansky (3 shared papers)Avi Rosenstrauch (1 shared paper)Jamboor K. Vishwanatha (1 shared paper)
- Journals
- General and Comparative Endocrinology (1 paper)Influenza and Other Respiratory Viruses (1 paper)Journal of Nanoscience and Nanotechnology (1 paper)Leukemia & lymphoma (1 paper)Medical and Pediatric Oncology (1 paper)
In The Last Decade
M Kafka
8 papers receiving 99 citations
Peers
Comparison fields: 5 of 48
- Agronomy and Crop Science 15
- Reproductive Medicine 11
- Equine 2
- Hematology 12
- Pharmaceutical Science 6
Countries citing papers authored by M Kafka
This map shows the geographic impact of M Kafka'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 Kafka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M Kafka more than expected).
Fields of papers citing papers by M Kafka
This network shows the impact of papers produced by M Kafka. 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 Kafka. The network helps show where M Kafka may publish in the future.
Co-authors
The 12 scholars most cited alongside M Kafka, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 28 | |
| 2 | 1983 | 25 | |
| 3 | 1998 | 22 | |
| 4 | 2011 | 13 | |
| 5 | Mechanism of interaction between interferon-gamma and antineoplastic agent on the differentiation of HL-60 promyelocytic cells. | 1990 | 9 |
| 6 | New combination of 5-fluorouracil and interferon-gamma effective against human myeloid leukemia in vitro. | 1989 | 6 |
| 7 | 2002 | 3 | |
| 8 | 1992 | 3 |
About M Kafka
M Kafka is a scholar working on Molecular Biology, Hematology, Oncology, Genetics and Pathology and Forensic Medicine, having authored 8 papers that have together received 109 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (3 papers), Cytokine Signaling Pathways and Interactions (2 papers), Cancer therapeutics and mechanisms (2 papers), Digital Imaging for Blood Diseases (1 paper), Body Composition Measurement Techniques (1 paper), Lymphoma Diagnosis and Treatment (1 paper), Sperm and Testicular Function (1 paper) and Chronic Lymphocytic Leukemia Research (1 paper). The work is most often cited by research in Agronomy and Crop Science (15 citations), Reproductive Medicine (11 citations), Equine (2 citations), Hematology (12 citations) and Pharmaceutical Science (6 citations). M Kafka has collaborated with scholars based in Israel, India and Canada. Frequent co-authors include Tikva Yermiahu, Michael J. Friedlander, E. Bedrak, Harlan P. Jones, Ilana Nathan, A. Dvilansky, Avi Rosenstrauch, Jamboor K. Vishwanatha, Pierre A. Pilon and Michel Couillard. Their work appears in journals such as General and Comparative Endocrinology, Influenza and Other Respiratory Viruses, Journal of Nanoscience and Nanotechnology, Leukemia & lymphoma and Medical and Pediatric Oncology.
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.