Vera Großmann
Impact in
- Hematology top 2%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
- Genetics top 2%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
- Chronic Lymphocytic Leukemia Research
Papers in
- Hematology 23
- Acute Myeloid Leukemia Research 21
- Chronic Myeloid Leukemia Treatments 4
- Genetics 14
- Chronic Lymphocytic Leukemia Research 9
- Myeloproliferative Neoplasms: Diagnosis and Treatment 6
- Genomic variations and chromosomal abnormalities 4
- Co-authors
- Torsten Haferlach (29 shared papers)Alexander Kohlmann (27 shared papers)Susanne Schnittger (27 shared papers)Wolfgang Kern (26 shared papers)Claudia Haferlach (25 shared papers)Sonja Schindela (7 shared papers)Martin Dugas (5 shared papers)Frank Dicker (9 shared papers)
- Journals
- Blood (22 papers)Naunyn-Schmiedeberg s Archives of Pharmacology (2 papers)Leukemia (2 papers)British Journal of Haematology (2 papers)Nature Communications (1 paper)
- Partner nations
- GermanyAustriaUnited States
In The Last Decade
Vera Großmann
42 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 84
- Hematology 508
- Genetics 325
- Internal Medicine 29
- Cancer Research 109
- Molecular Biology 376
Countries citing papers authored by Vera Großmann
This map shows the geographic impact of Vera Großmann'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 Vera Großmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vera Großmann more than expected).
Fields of papers citing papers by Vera Großmann
This network shows the impact of papers produced by Vera Großmann. 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 Vera Großmann. The network helps show where Vera Großmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Vera Großmann, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 220 | |
| 2 | 2015 | 194 | |
| 3 | 2015 | 176 | |
| 4 | 2013 | 66 | |
| 5 | 2013 | 50 | |
| 6 | 2015 | 45 | |
| 7 | 2013 | 38 | |
| 8 | 2012 | 37 | |
| 9 | 2011 | 35 | |
| 10 | 2011 | 30 | |
| 11 | 2010 | 24 | |
| 12 | 2012 | 21 | |
| 13 | 2020 | 20 | |
| 14 | 2012 | 19 | |
| 15 | 2009 | 18 | |
| 16 | 2015 | 16 | |
| 17 | 2015 | 16 | |
| 18 | 2011 | 8 | |
| 19 | 2009 | 7 | |
| 20 | 2010 | 4 |
About Vera Großmann
Vera Großmann is a scholar working on Hematology, Genetics, Molecular Biology, Cancer Research and Genetics, having authored 43 papers that have together received 1.1k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (21 papers), Chronic Lymphocytic Leukemia Research (9 papers), Cancer Genomics and Diagnostics (6 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (6 papers), Genomic variations and chromosomal abnormalities (4 papers), Chronic Myeloid Leukemia Treatments (4 papers), Protein Degradation and Inhibitors (3 papers) and Lymphoma Diagnosis and Treatment (3 papers). The work is most often cited by research in Hematology (508 citations), Genetics (325 citations), Internal Medicine (29 citations), Cancer Research (109 citations) and Molecular Biology (376 citations). Vera Großmann has collaborated with scholars based in Germany, Austria and United States. Frequent co-authors include Torsten Haferlach, Alexander Kohlmann, Susanne Schnittger, Wolfgang Kern, Claudia Haferlach, Sonja Schindela, Martin Dugas, Frank Dicker, Hans‐Ulrich Klein and Tamara Weiss. Their work appears in journals such as Blood, Naunyn-Schmiedeberg s Archives of Pharmacology, Leukemia, British Journal of Haematology and Nature Communications.
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.