Cindy Varga
Impact in
- Hematology top 2%
- Multiple Myeloma Research and Treatments
- Genetics top 10%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
- Chronic Lymphocytic Leukemia Research
Papers in
-
- Amyloidosis: Diagnosis, Treatment, Outcomes 30
- Protein Degradation and Inhibitors 10
- Hematology 36
- Multiple Myeloma Research and Treatments 30
- Chronic Myeloid Leukemia Treatments 6
- Co-authors
- Raymond L. Comenzo (26 shared papers)Paul G. Richardson (6 shared papers)Vaishali Sanchorawala (6 shared papers)Jacob P. Laubach (5 shared papers)Kenneth C. Anderson (5 shared papers)Stephen Lo (1 shared paper)J. Mark Sloan (3 shared papers)David C. Seldin (1 shared paper)
- Journals
- Blood (17 papers)British Journal of Haematology (5 papers)Blood Reviews (3 papers)Journal of Clinical Oncology (3 papers)Amyloid (2 papers)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Cindy Varga
56 papers receiving 764 citations
Peers
Comparison fields: 5 of 53
- Hematology 359
- Genetics 134
- Nephrology 61
- Oncology 218
- Molecular Biology 485
Countries citing papers authored by Cindy Varga
This map shows the geographic impact of Cindy Varga'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 Cindy Varga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cindy Varga more than expected).
Fields of papers citing papers by Cindy Varga
This network shows the impact of papers produced by Cindy Varga. 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 Cindy Varga. The network helps show where Cindy Varga may publish in the future.
Co-authors
The 25 scholars most cited alongside Cindy Varga, 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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 106 | |
| 2 | 2015 | 60 | |
| 3 | 2015 | 59 | |
| 4 | 2012 | 46 | |
| 5 | 2018 | 37 | |
| 6 | 2018 | 35 | |
| 7 | 2012 | 34 | |
| 8 | 2020 | 32 | |
| 9 | 2021 | 27 | |
| 10 | 2022 | 24 | |
| 11 | 2018 | 19 | |
| 12 | 2020 | 18 | |
| 13 | 2020 | 17 | |
| 14 | 2013 | 17 | |
| 15 | 2018 | 17 | |
| 16 | 2018 | 16 | |
| 17 | 2014 | 16 | |
| 18 | 2020 | 15 | |
| 19 | 2018 | 15 | |
| 20 | 2021 | 13 |
About Cindy Varga
Cindy Varga is a scholar working on Molecular Biology, Hematology, Oncology, Genetics and Radiology, Nuclear Medicine and Imaging, having authored 62 papers that have together received 769 indexed citations. Recurring topics across this work include Amyloidosis: Diagnosis, Treatment, Outcomes (30 papers), Multiple Myeloma Research and Treatments (30 papers), Protein Degradation and Inhibitors (10 papers), Monoclonal and Polyclonal Antibodies Research (8 papers), Peptidase Inhibition and Analysis (7 papers), Chronic Myeloid Leukemia Treatments (6 papers), Chronic Lymphocytic Leukemia Research (6 papers) and Renal Transplantation Outcomes and Treatments (3 papers). The work is most often cited by research in Hematology (359 citations), Genetics (134 citations), Nephrology (61 citations), Oncology (218 citations) and Molecular Biology (485 citations). Cindy Varga has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Raymond L. Comenzo, Paul G. Richardson, Vaishali Sanchorawala, Jacob P. Laubach, Kenneth C. Anderson, Stephen Lo, J. Mark Sloan, David C. Seldin, Anthony C Shelton and Irene M. Ghobrial. Their work appears in journals such as Blood, British Journal of Haematology, Blood Reviews, Journal of Clinical Oncology and Amyloid.
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.