Dita Gratzinger
Impact in
-
- Lymphoma Diagnosis and Treatment
- Genetics top 2%
- Chronic Lymphocytic Leukemia Research
Papers in ⓘ
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- Lymphoma Diagnosis and Treatment 43
- Co-authors
- Yasodha Natkunam (26 shared papers)Robert Tibshirani (8 shared papers)Daphne de Jong (8 shared papers)Amy Chadburn (6 shared papers)Jonathan Said (6 shared papers)John R. Goodlad (6 shared papers)Elaine S. Jaffe (6 shared papers)Joseph A. Madri (3 shared papers)
- Journals
- American Journal of Clinical Pathology (15 papers)Archives of Pathology & Laboratory Medicine (10 papers)Blood (9 papers)The American Journal of Surgical Pathology (4 papers)Human Pathology (3 papers)
- Partner nations
- United StatesNetherlandsCanada
In The Last Decade
Dita Gratzinger
95 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Pathology and Forensic Medicine 871
- Genetics 422
- Oncology 986
- Hematology 388
- Dermatology 292
Countries citing papers authored by Dita Gratzinger
This map shows the geographic impact of Dita Gratzinger'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 Dita Gratzinger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dita Gratzinger more than expected).
Fields of papers citing papers by Dita Gratzinger
This network shows the impact of papers produced by Dita Gratzinger. 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 Dita Gratzinger. The network helps show where Dita Gratzinger may publish in the future.
Co-authors
The 25 scholars most cited alongside Dita Gratzinger, 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 97 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 195 | |
| 2 | 2011 | 161 | |
| 3 | 2016 | 146 | |
| 4 | 2007 | 133 | |
| 5 | 2016 | 106 | |
| 6 | Risk of Second Tumors and T-Cell Lymphoma after CAR T-Cell Therapy Hit paper breakdown → | 2024 | 93 |
| 7 | 2003 | 81 | |
| 8 | 2007 | 79 | |
| 9 | 2017 | 77 | |
| 10 | 2018 | 77 | |
| 11 | 2018 | 73 | |
| 12 | 2003 | 69 | |
| 13 | 2007 | 67 | |
| 14 | 2012 | 67 | |
| 15 | 2016 | 65 | |
| 16 | 2003 | 50 | |
| 17 | 2016 | 46 | |
| 18 | 2017 | 46 | |
| 19 | 2018 | 44 | |
| 20 | 2016 | 38 |
About Dita Gratzinger
Dita Gratzinger is a scholar working on Pathology and Forensic Medicine, Family Practice, Genetics, Hematology and Oncology, having authored 97 papers that have together received 2.5k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (43 papers), Viral-associated cancers and disorders (20 papers), Acute Myeloid Leukemia Research (14 papers), Chronic Lymphocytic Leukemia Research (13 papers), Innovations in Medical Education (11 papers), Vascular Tumors and Angiosarcomas (11 papers), Radiology practices and education (10 papers) and Diversity and Career in Medicine (8 papers). The work is most often cited by research in Pathology and Forensic Medicine (871 citations), Genetics (422 citations), Oncology (986 citations), Hematology (388 citations) and Dermatology (292 citations). Dita Gratzinger has collaborated with scholars based in United States, Netherlands and Canada. Frequent co-authors include Yasodha Natkunam, Robert Tibshirani, Daphne de Jong, Amy Chadburn, Jonathan Said, John R. Goodlad, Elaine S. Jaffe, Joseph A. Madri, Sandra Canosa and Shuchun Zhao. Their work appears in journals such as American Journal of Clinical Pathology, Archives of Pathology & Laboratory Medicine, Blood, The American Journal of Surgical Pathology and Human Pathology.
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.