Moshe E. Gatt
Impact in
- Hematology top 2%
- Multiple Myeloma Research and Treatments
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research
Papers in
- Hematology 62
- Multiple Myeloma Research and Treatments 47
- Acute Myeloid Leukemia Research 11
- Chronic Myeloid Leukemia Treatments 10
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- Amyloidosis: Diagnosis, Treatment, Outcomes 25
- Protein Degradation and Inhibitors 20
- Co-authors
- Ora Paltiel (8 shared papers)Neta Goldschmidt (24 shared papers)Irit Avivi (30 shared papers)Galia Spectre (3 shared papers)Giovanni Palladini (5 shared papers)Daniel E. Carrasco (4 shared papers)Marjorie Pick (14 shared papers)Sigal Grisariu (16 shared papers)
- Journals
- Blood (22 papers)British Journal of Haematology (6 papers)European Journal Of Haematology (6 papers)Acta Haematologica (6 papers)Cancers (5 papers)
- Partner nations
- IsraelUnited StatesSpain
In The Last Decade
Moshe E. Gatt
107 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 92
- Hematology 432
- Genetics 168
- Oncology 382
- Internal Medicine 42
- Molecular Biology 596
Countries citing papers authored by Moshe E. Gatt
This map shows the geographic impact of Moshe E. Gatt'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 Moshe E. Gatt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Moshe E. Gatt more than expected).
Fields of papers citing papers by Moshe E. Gatt
This network shows the impact of papers produced by Moshe E. Gatt. 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 Moshe E. Gatt. The network helps show where Moshe E. Gatt may publish in the future.
Co-authors
The 25 scholars most cited alongside Moshe E. Gatt, 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 117 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 155 | |
| 2 | 2003 | 95 | |
| 3 | 2009 | 89 | |
| 4 | 2023 | 64 | |
| 5 | 2018 | 62 | |
| 6 | 2004 | 50 | |
| 7 | 2014 | 50 | |
| 8 | 1998 | 48 | |
| 9 | 2013 | 39 | |
| 10 | 2015 | 33 | |
| 11 | 2016 | 28 | |
| 12 | 2014 | 28 | |
| 13 | 2002 | 26 | |
| 14 | 2009 | 25 | |
| 15 | 2022 | 23 | |
| 16 | 2013 | 23 | |
| 17 | 2019 | 22 | |
| 18 | 2015 | 21 | |
| 19 | 2022 | 19 | |
| 20 | 2016 | 19 |
About Moshe E. Gatt
Moshe E. Gatt is a scholar working on Hematology, Molecular Biology, Oncology, Genetics and Pathology and Forensic Medicine, having authored 117 papers that have together received 1.4k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (47 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (25 papers), Protein Degradation and Inhibitors (20 papers), Chronic Lymphocytic Leukemia Research (15 papers), Peptidase Inhibition and Analysis (14 papers), Lymphoma Diagnosis and Treatment (13 papers), Acute Myeloid Leukemia Research (11 papers) and Chronic Myeloid Leukemia Treatments (10 papers). The work is most often cited by research in Hematology (432 citations), Genetics (168 citations), Oncology (382 citations), Internal Medicine (42 citations) and Molecular Biology (596 citations). Moshe E. Gatt has collaborated with scholars based in Israel, United States and Spain. Frequent co-authors include Ora Paltiel, Neta Goldschmidt, Irit Avivi, Galia Spectre, Giovanni Palladini, Daniel E. Carrasco, Marjorie Pick, Sigal Grisariu, Ruth Stalnikowicz and Kohichi Takada. Their work appears in journals such as Blood, British Journal of Haematology, European Journal Of Haematology, Acta Haematologica and Cancers.
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.