Menachem Bitan
Impact in
- Hematology top 1%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Cell Biology top 2%
- Proteoglycans and glycosaminoglycans research
Papers in
- Hematology 41
- Hematopoietic Stem Cell Transplantation 34
- Acute Myeloid Leukemia Research 14
- Oncology 12
- Polyomavirus and related diseases 7
- Co-authors
- Israël Vlodavsky (8 shared papers)Yael Friedmann (3 shared papers)Iris Pecker (2 shared papers)Orit Pappo (2 shared papers)Michael Y. Shapira (23 shared papers)Tuvia Peretz (1 shared paper)Helena Aingorn (1 shared paper)Michael Elkin (1 shared paper)
- Journals
- Bone Marrow Transplantation (14 papers)Transplantation and Cellular Therapy (13 papers)Blood (5 papers)Haematologica (4 papers)Clinical Transplantation (4 papers)
- Partner nations
- IsraelUnited StatesSpain
In The Last Decade
Menachem Bitan
68 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 118
- Hematology 833
- Cell Biology 705
- Modeling and Simulation 138
- Transplantation 60
- Genetics 178
Countries citing papers authored by Menachem Bitan
This map shows the geographic impact of Menachem Bitan'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 Menachem Bitan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Menachem Bitan more than expected).
Fields of papers citing papers by Menachem Bitan
This network shows the impact of papers produced by Menachem Bitan. 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 Menachem Bitan. The network helps show where Menachem Bitan may publish in the future.
Co-authors
The 25 scholars most cited alongside Menachem Bitan, 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 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 703 | |
| 2 | 2020 | 306 | |
| 3 | 2015 | 125 | |
| 4 | 2006 | 123 | |
| 5 | 2007 | 101 | |
| 6 | 2013 | 70 | |
| 7 | 2014 | 57 | |
| 8 | 2002 | 55 | |
| 9 | 2010 | 53 | |
| 10 | 2017 | 51 | |
| 11 | 2006 | 51 | |
| 12 | 2006 | 47 | |
| 13 | 2006 | 45 | |
| 14 | 2017 | 45 | |
| 15 | 2016 | 45 | |
| 16 | 2007 | 38 | |
| 17 | 2017 | 37 | |
| 18 | 2010 | 36 | |
| 19 | 2007 | 34 | |
| 20 | 2005 | 33 |
About Menachem Bitan
Menachem Bitan is a scholar working on Hematology, Oncology, Cell Biology, Immunology and Transplantation, having authored 68 papers that have together received 2.6k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (34 papers), Acute Myeloid Leukemia Research (14 papers), Proteoglycans and glycosaminoglycans research (9 papers), Polyomavirus and related diseases (7 papers), Immune Cell Function and Interaction (6 papers), Acute Lymphoblastic Leukemia research (6 papers), Oral health in cancer treatment (5 papers) and T-cell and B-cell Immunology (5 papers). The work is most often cited by research in Hematology (833 citations), Cell Biology (705 citations), Modeling and Simulation (138 citations), Transplantation (60 citations) and Genetics (178 citations). Menachem Bitan has collaborated with scholars based in Israel, United States and Spain. Frequent co-authors include Israël Vlodavsky, Yael Friedmann, Iris Pecker, Orit Pappo, Michael Y. Shapira, Tuvia Peretz, Helena Aingorn, Michael Elkin, Ruth Atzmon and Rivka Ishai-Michaeli. Their work appears in journals such as Bone Marrow Transplantation, Transplantation and Cellular Therapy, Blood, Haematologica and Clinical Transplantation.
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.