Neta Goldschmidt
Impact in
- Genetics top 2%
- Chronic Lymphocytic Leukemia Research
- Hematology top 2%
- Multiple Myeloma Research and Treatments
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
Papers in
-
- Lymphoma Diagnosis and Treatment 38
- Genetics 38
- Chronic Lymphocytic Leukemia Research 26
- Co-authors
- Tali Siegal (5 shared papers)Moshe E. Gatt (24 shared papers)Ora Paltiel (14 shared papers)Alexander Gural (11 shared papers)Osnat Bairey (21 shared papers)Tamar Tadmor (17 shared papers)Lev Shvidel (15 shared papers)David Varon (2 shared papers)
- Journals
- Blood (21 papers)American Journal of Hematology (5 papers)Annals of Hematology (5 papers)Hematological Oncology (4 papers)Cancer (4 papers)
- Partner nations
- IsraelUnited StatesGermany
In The Last Decade
Neta Goldschmidt
94 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 84
- Genetics 384
- Hematology 323
- Pathology and Forensic Medicine 448
- Internal Medicine 55
- Neurology 178
Countries citing papers authored by Neta Goldschmidt
This map shows the geographic impact of Neta Goldschmidt'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 Neta Goldschmidt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neta Goldschmidt more than expected).
Fields of papers citing papers by Neta Goldschmidt
This network shows the impact of papers produced by Neta Goldschmidt. 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 Neta Goldschmidt. The network helps show where Neta Goldschmidt may publish in the future.
Co-authors
The 25 scholars most cited alongside Neta Goldschmidt, 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 98 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 74 | |
| 2 | 2003 | 74 | |
| 3 | 2018 | 62 | |
| 4 | 2017 | 59 | |
| 5 | 2010 | 58 | |
| 6 | 2005 | 56 | |
| 7 | 2000 | 52 | |
| 8 | 2012 | 47 | |
| 9 | 2016 | 45 | |
| 10 | 2012 | 32 | |
| 11 | Hodgkin's variant of Richter transformation in chronic lymphocytic leukemia; a retrospective study from the Israeli CLL study group. | 2014 | 32 |
| 12 | 2015 | 31 | |
| 13 | 2013 | 30 | |
| 14 | 1997 | 30 | |
| 15 | 2008 | 28 | |
| 16 | 2014 | 28 | |
| 17 | 2014 | 27 | |
| 18 | 2002 | 27 | |
| 19 | 2017 | 26 | |
| 20 | 2016 | 26 |
About Neta Goldschmidt
Neta Goldschmidt is a scholar working on Pathology and Forensic Medicine, Genetics, Oncology, Neurology and Hematology, having authored 98 papers that have together received 1.4k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (38 papers), Chronic Lymphocytic Leukemia Research (26 papers), CNS Lymphoma Diagnosis and Treatment (17 papers), CAR-T cell therapy research (10 papers), Acute Myeloid Leukemia Research (8 papers), Chronic Myeloid Leukemia Treatments (6 papers), Acute Lymphoblastic Leukemia research (6 papers) and Medical Imaging Techniques and Applications (5 papers). The work is most often cited by research in Genetics (384 citations), Hematology (323 citations), Pathology and Forensic Medicine (448 citations), Internal Medicine (55 citations) and Neurology (178 citations). Neta Goldschmidt has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Tali Siegal, Moshe E. Gatt, Ora Paltiel, Alexander Gural, Osnat Bairey, Tamar Tadmor, Lev Shvidel, David Varon, Rosa Ruchlemer and Batia Avni. Their work appears in journals such as Blood, American Journal of Hematology, Annals of Hematology, Hematological Oncology and Cancer.
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.