Eric Sanchez
Impact in
- Hematology top 1%
- Multiple Myeloma Research and Treatments
- Oncology top 5%
- CAR-T cell therapy research
- Peptidase Inhibition and Analysis
Papers in
- Hematology 55
- Multiple Myeloma Research and Treatments 53
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- Protein Degradation and Inhibitors 13
- Ubiquitin and proteasome pathways 11
- Glycosylation and Glycoproteins Research 9
- Co-authors
- James R. Berenson (74 shared papers)Mingjie Li (56 shared papers)Haiming Chen (46 shared papers)Cathy S. Wang (27 shared papers)Benjamin Bonavida (23 shared papers)Jeffrey A. Steinberg (13 shared papers)Cathy Wang (29 shared papers)Regina A. Swift (15 shared papers)
- Journals
- Blood (47 papers)British Journal of Haematology (6 papers)Leukemia Research (3 papers)Clinical Cancer Research (2 papers)Targeted Oncology (2 papers)
- Partner nations
- United StatesIsraelSpain
In The Last Decade
Eric Sanchez
76 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 63
- Hematology 662
- Oncology 565
- Radiology, Nuclear Medicine and Imaging 270
- Immunology 225
- Genetics 92
Countries citing papers authored by Eric Sanchez
This map shows the geographic impact of Eric Sanchez'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 Eric Sanchez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Sanchez more than expected).
Fields of papers citing papers by Eric Sanchez
This network shows the impact of papers produced by Eric Sanchez. 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 Eric Sanchez. The network helps show where Eric Sanchez may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric Sanchez, 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 78 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 222 | |
| 2 | 2016 | 144 | |
| 3 | 2016 | 91 | |
| 4 | 2008 | 71 | |
| 5 | 2009 | 69 | |
| 6 | 2019 | 47 | |
| 7 | 2009 | 46 | |
| 8 | 2016 | 45 | |
| 9 | 2010 | 39 | |
| 10 | 2017 | 38 | |
| 11 | 2007 | 37 | |
| 12 | 2018 | 25 | |
| 13 | 2012 | 22 | |
| 14 | 2007 | 22 | |
| 15 | 2020 | 21 | |
| 16 | 2017 | 19 | |
| 17 | 2020 | 17 | |
| 18 | 2019 | 15 | |
| 19 | 2019 | 15 | |
| 20 | 2012 | 14 |
About Eric Sanchez
Eric Sanchez is a scholar working on Hematology, Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging and Genetics, having authored 78 papers that have together received 1.2k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (53 papers), Monoclonal and Polyclonal Antibodies Research (21 papers), Protein Degradation and Inhibitors (13 papers), Peptidase Inhibition and Analysis (12 papers), Ubiquitin and proteasome pathways (11 papers), Glycosylation and Glycoproteins Research (9 papers), Chronic Lymphocytic Leukemia Research (9 papers) and Cancer Treatment and Pharmacology (7 papers). The work is most often cited by research in Hematology (662 citations), Oncology (565 citations), Radiology, Nuclear Medicine and Imaging (270 citations), Immunology (225 citations) and Genetics (92 citations). Eric Sanchez has collaborated with scholars based in United States, Israel and Spain. Frequent co-authors include James R. Berenson, Mingjie Li, Haiming Chen, Cathy S. Wang, Benjamin Bonavida, Jeffrey A. Steinberg, Cathy Wang, Regina A. Swift, Haiming Chen and George Tang. Their work appears in journals such as Blood, British Journal of Haematology, Leukemia Research, Clinical Cancer Research and Targeted 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.