Annika Scheffold
Impact in
Papers in
-
- Ubiquitin and proteasome pathways 3
- PI3K/AKT/mTOR signaling in cancer 3
- Genetics 10
- Chronic Lymphocytic Leukemia Research 10
- Co-authors
- Stephan Stilgenbauer (13 shared papers)K. Lenhard Rudolph (7 shared papers)Billy Michael Chelliah Jebaraj (9 shared papers)Dietmar Rudolf Thal (3 shared papers)Birgit Liss (2 shared papers)Yvonne Begus‐Nahrmann (2 shared papers)Jochen H. Weishaupt (2 shared papers)Martina Seiffert (3 shared papers)
- Journals
- Blood (7 papers)Leukemia (3 papers)Aging (2 papers)British Journal of Haematology (1 paper)Acta Neuropathologica Communications (1 paper)
- Partner nations
- GermanyUnited StatesItaly
In The Last Decade
Annika Scheffold
24 papers receiving 574 citations
Peers
Comparison fields: 5 of 67
- Aging 52
- Genetics 134
- Physiology 184
- Neurology 96
- Neurology 52
Countries citing papers authored by Annika Scheffold
This map shows the geographic impact of Annika Scheffold'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 Annika Scheffold with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Annika Scheffold more than expected).
Fields of papers citing papers by Annika Scheffold
This network shows the impact of papers produced by Annika Scheffold. 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 Annika Scheffold. The network helps show where Annika Scheffold may publish in the future.
Co-authors
The 25 scholars most cited alongside Annika Scheffold, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 113 | |
| 2 | 2011 | 84 | |
| 3 | 2018 | 49 | |
| 4 | 2019 | 45 | |
| 5 | 2012 | 42 | |
| 6 | 2016 | 42 | |
| 7 | 2016 | 29 | |
| 8 | 2018 | 27 | |
| 9 | 2018 | 21 | |
| 10 | 2016 | 20 | |
| 11 | 2012 | 18 | |
| 12 | 2020 | 17 | |
| 13 | 2019 | 16 | |
| 14 | 2019 | 13 | |
| 15 | 2017 | 13 | |
| 16 | 2019 | 6 | |
| 17 | 2016 | 6 | |
| 18 | 2023 | 5 | |
| 19 | 2014 | 4 | |
| 20 | 2020 | 3 |
About Annika Scheffold
Annika Scheffold is a scholar working on Molecular Biology, Genetics, Hematology, Physiology and Public Health, Environmental and Occupational Health, having authored 26 papers that have together received 578 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (10 papers), Telomeres, Telomerase, and Senescence (6 papers), Ubiquitin and proteasome pathways (3 papers), Chronic Myeloid Leukemia Treatments (3 papers), Acute Lymphoblastic Leukemia research (3 papers), Multiple Myeloma Research and Treatments (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Advanced Causal Inference Techniques (2 papers). The work is most often cited by research in Aging (52 citations), Genetics (134 citations), Physiology (184 citations), Neurology (96 citations) and Neurology (52 citations). Annika Scheffold has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Stephan Stilgenbauer, K. Lenhard Rudolph, Billy Michael Chelliah Jebaraj, Dietmar Rudolf Thal, Birgit Liss, Yvonne Begus‐Nahrmann, Jochen H. Weishaupt, Martina Seiffert, Karin M. Danzer and Albert C. Ludolph. Their work appears in journals such as Blood, Leukemia, Aging, British Journal of Haematology and Acta Neuropathologica 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.