Niklas Zojer
Impact in
- Hematology top 0.5%
- Multiple Myeloma Research and Treatments
- Genetics top 2%
- Chronic Lymphocytic Leukemia Research
Papers in
- Hematology 88
- Multiple Myeloma Research and Treatments 84
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- Protein Degradation and Inhibitors 21
- Glycosylation and Glycoproteins Research 16
- Ubiquitin and proteasome pathways 10
- Amyloidosis: Diagnosis, Treatment, Outcomes 10
- Co-authors
- Heinz Ludwig (87 shared papers)Johannes Drach (33 shared papers)Heinz Gisslinger (25 shared papers)Michael Fiegl (17 shared papers)H. Huber (10 shared papers)Jutta Ackermann (10 shared papers)R. Heinz (7 shared papers)Arnold Bolomsky (21 shared papers)
In The Last Decade
Niklas Zojer
116 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 93
- Hematology 1.7k
- Genetics 402
- Oncology 996
- Molecular Biology 1.5k
- Pathology and Forensic Medicine 218
Countries citing papers authored by Niklas Zojer
This map shows the geographic impact of Niklas Zojer'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 Niklas Zojer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Niklas Zojer more than expected).
Fields of papers citing papers by Niklas Zojer
This network shows the impact of papers produced by Niklas Zojer. 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 Niklas Zojer. The network helps show where Niklas Zojer may publish in the future.
Co-authors
The 25 scholars most cited alongside Niklas Zojer, 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 125 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 239 | |
| 2 | 2000 | 227 | |
| 3 | 1996 | 195 | |
| 4 | 2008 | 150 | |
| 5 | 2011 | 137 | |
| 6 | 2000 | 115 | |
| 7 | 2010 | 104 | |
| 8 | 2013 | 92 | |
| 9 | 2006 | 87 | |
| 10 | 2012 | 79 | |
| 11 | 2013 | 73 | |
| 12 | 2000 | 55 | |
| 13 | 2010 | 47 | |
| 14 | 2016 | 46 | |
| 15 | 2016 | 45 | |
| 16 | 2006 | 41 | |
| 17 | 1997 | 34 | |
| 18 | 2003 | 33 | |
| 19 | 2010 | 31 | |
| 20 | 2015 | 28 |
About Niklas Zojer
Niklas Zojer is a scholar working on Hematology, Molecular Biology, Oncology, Genetics and Pathology and Forensic Medicine, having authored 125 papers that have together received 2.8k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (84 papers), Protein Degradation and Inhibitors (21 papers), Glycosylation and Glycoproteins Research (16 papers), Chronic Lymphocytic Leukemia Research (13 papers), Ubiquitin and proteasome pathways (10 papers), Monoclonal and Polyclonal Antibodies Research (10 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (10 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (8 papers). The work is most often cited by research in Hematology (1.7k citations), Genetics (402 citations), Oncology (996 citations), Molecular Biology (1.5k citations) and Pathology and Forensic Medicine (218 citations). Niklas Zojer has collaborated with scholars based in Austria, Germany and Czechia. Frequent co-authors include Heinz Ludwig, Johannes Drach, Heinz Gisslinger, Michael Fiegl, H. Huber, Jutta Ackermann, R. Heinz, Arnold Bolomsky, H. Kaufmann and Elisabeth Krömer. Their work appears in journals such as Blood, British Journal of Haematology, Journal of Clinical Oncology, Leukemia and Annals of 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.