Anja Seckinger
Impact in
- Hematology top 0.5%
- Multiple Myeloma Research and Treatments
- Genetics top 0.5%
- Mesenchymal stem cell research
Papers in
- Hematology 96
- Multiple Myeloma Research and Treatments 94
- Genetics 23
- Mesenchymal stem cell research 16
- Co-authors
- Dirk Hose (94 shared papers)Anthony Dick Ho (26 shared papers)U. Krause (17 shared papers)Hartmut Goldschmidt (57 shared papers)Volker Eckstein (7 shared papers)Wolfgang Wagner (4 shared papers)Frederik Wein (4 shared papers)Jonathon Blake (3 shared papers)
- Journals
- Blood (30 papers)Leukemia (13 papers)Haematologica (9 papers)Oncotarget (7 papers)Blood Cancer Journal (7 papers)
- Partner nations
- GermanyFranceUnited States
In The Last Decade
Anja Seckinger
145 papers receiving 6.0k citations
Anja Seckinger's Hit Papers
Peers
Comparison fields: 5 of 120
- Hematology 2.5k
- Genetics 1.7k
- Oncology 1.6k
- Molecular Biology 3.0k
- Urology 181
Countries citing papers authored by Anja Seckinger
This map shows the geographic impact of Anja Seckinger'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 Anja Seckinger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anja Seckinger more than expected).
Fields of papers citing papers by Anja Seckinger
This network shows the impact of papers produced by Anja Seckinger. 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 Anja Seckinger. The network helps show where Anja Seckinger may publish in the future.
Co-authors
The 25 scholars most cited alongside Anja Seckinger, 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 148 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Comparative characteristics of mesenchymal stem cells from human bone marrow, adipose tissue, and umbilical cord blood Hit paper breakdown → | 2005 | 1076 |
| 2 | 2017 | 274 | |
| 3 | 2013 | 191 | |
| 4 | 2015 | 188 | |
| 5 | 2010 | 172 | |
| 6 | 2006 | 159 | |
| 7 | 2007 | 156 | |
| 8 | 2017 | 153 | |
| 9 | 2010 | 151 | |
| 10 | 2009 | 137 | |
| 11 | 2009 | 116 | |
| 12 | 2019 | 115 | |
| 13 | 2015 | 113 | |
| 14 | 2021 | 106 | |
| 15 | 2012 | 99 | |
| 16 | 2004 | 93 | |
| 17 | 2009 | 89 | |
| 18 | 2014 | 79 | |
| 19 | 2006 | 74 | |
| 20 | 2016 | 74 |
About Anja Seckinger
Anja Seckinger is a scholar working on Hematology, Genetics, Oncology, Molecular Biology and Cell Biology, having authored 148 papers that have together received 6.1k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (94 papers), Protein Degradation and Inhibitors (34 papers), Ubiquitin and proteasome pathways (16 papers), Mesenchymal stem cell research (16 papers), Peptidase Inhibition and Analysis (13 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (12 papers), Cancer Treatment and Pharmacology (9 papers) and Glycosylation and Glycoproteins Research (8 papers). The work is most often cited by research in Hematology (2.5k citations), Genetics (1.7k citations), Oncology (1.6k citations), Molecular Biology (3.0k citations) and Urology (181 citations). Anja Seckinger has collaborated with scholars based in Germany, France and United States. Frequent co-authors include Dirk Hose, Anthony Dick Ho, U. Krause, Hartmut Goldschmidt, Volker Eckstein, Wolfgang Wagner, Frederik Wein, Jonathon Blake, Anna Sophia Jauch and Ute Wirkner. Their work appears in journals such as Blood, Leukemia, Haematologica, Oncotarget and Blood Cancer Journal.
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.