Nadja Kopp
Impact in
- Hematology top 5%
- Multiple Myeloma Research and Treatments
- Pathology and Forensic Medicine top 10%
- Lymphoma Diagnosis and Treatment
Papers in
- Genetics 9
- Chronic Lymphocytic Leukemia Research 7
- Myeloproliferative Neoplasms: Diagnosis and Treatment 2
- Co-authors
- David M. Weinstock (17 shared papers)Liat Bird (9 shared papers)Scott J. Rodig (7 shared papers)Ernst Leumann (1 shared paper)Andrew L. Kung (5 shared papers)Ronald M. Paranal (3 shared papers)Teresa V. Bowman (3 shared papers)Jun Qi (3 shared papers)
- Journals
- Blood (10 papers)Cancer Discovery (1 paper)Molecular Cancer Therapeutics (1 paper)FEBS Letters (1 paper)Vaccine (1 paper)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Nadja Kopp
20 papers receiving 636 citations
Peers
Comparison fields: 5 of 65
- Hematology 180
- Pathology and Forensic Medicine 160
- Genetics 90
- Oncology 163
- Molecular Biology 388
Countries citing papers authored by Nadja Kopp
This map shows the geographic impact of Nadja Kopp'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 Nadja Kopp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nadja Kopp more than expected).
Fields of papers citing papers by Nadja Kopp
This network shows the impact of papers produced by Nadja Kopp. 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 Nadja Kopp. The network helps show where Nadja Kopp may publish in the future.
Co-authors
The 25 scholars most cited alongside Nadja Kopp, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 294 | |
| 2 | 1995 | 65 | |
| 3 | 2011 | 64 | |
| 4 | 2012 | 45 | |
| 5 | 2012 | 34 | |
| 6 | 2016 | 30 | |
| 7 | 2016 | 29 | |
| 8 | 2009 | 23 | |
| 9 | 2013 | 15 | |
| 10 | 2015 | 8 | |
| 11 | 2016 | 8 | |
| 12 | 1999 | 7 | |
| 13 | [Adrenomyeloneuropathy: an adult form of adrenoleukodystrophy spastic paraparesis, and chronic adrenal insufficiency (concerning 3 cases) (author's transl)]. | 1979 | 5 |
| 14 | 2012 | 4 | |
| 15 | 2011 | 4 | |
| 16 | 2014 | 4 | |
| 17 | 2014 | 1 | |
| 18 | 2012 | 1 | |
| 19 | 2013 | 1 | |
| 20 | 2014 | 1 |
About Nadja Kopp
Nadja Kopp is a scholar working on Genetics, Molecular Biology, Pathology and Forensic Medicine, Oncology and Hematology, having authored 21 papers that have together received 643 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (8 papers), Chronic Lymphocytic Leukemia Research (7 papers), CAR-T cell therapy research (4 papers), Acute Lymphoblastic Leukemia research (3 papers), Chronic Myeloid Leukemia Treatments (3 papers), Cytokine Signaling Pathways and Interactions (2 papers), Galectins and Cancer Biology (2 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers). The work is most often cited by research in Hematology (180 citations), Pathology and Forensic Medicine (160 citations), Genetics (90 citations), Oncology (163 citations) and Molecular Biology (388 citations). Nadja Kopp has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include David M. Weinstock, Liat Bird, Scott J. Rodig, Ernst Leumann, Andrew L. Kung, Ronald M. Paranal, Teresa V. Bowman, Jun Qi, James E. Bradner and Christopher J. Ott. Their work appears in journals such as Blood, Cancer Discovery, Molecular Cancer Therapeutics, FEBS Letters and Vaccine.
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.