Cindy L. Will
Impact in
- Molecular Biology top 0.5%
- RNA Research and Splicing
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- RNA regulation and disease
- Genomics and Chromatin Dynamics
- Nuclear Structure and Function
- Structural Biology top 2%
Papers in
-
- RNA Research and Splicing 78
- RNA and protein synthesis mechanisms 68
- RNA modifications and cancer 55
- RNA Interference and Gene Delivery 5
- Nuclear Structure and Function 4
- Genomics and Chromatin Dynamics 4
- Protein Structure and Dynamics 2
- Aging 1
- Co-authors
- Reinhard LührmannM.C. WahlHenning UrlaubHolger StarkBerthold KastnerKlaus HartmuthJames L. ManleySergey Bessonov
- Journals
- RNA (8 papers)Molecular Cell (8 papers)The EMBO Journal (8 papers)Molecular and Cellular Biology (8 papers)Science (7 papers)
- Partner nations
- GermanyUnited StatesFinland
In The Last Decade
Cindy L. Will
87 papers receiving 10.2k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Molecular Biology 9.8k
- Structural Biology 87
- Genetics 620
- Aging 78
- Cancer Research 562
Countries citing papers authored by Cindy L. Will
This map shows the geographic impact of Cindy L. Will'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 Cindy L. Will with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cindy L. Will more than expected).
Fields of papers citing papers by Cindy L. Will
This network shows the impact of papers produced by Cindy L. Will. 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 Cindy L. Will. The network helps show where Cindy L. Will may publish in the future.
Co-authors
The 25 scholars most cited alongside Cindy L. Will, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 10 | |
| 2 | 2020 | 26 | |
| 3 | 2020 | 72 | |
| 4 | 2019 | 22 | |
| 5 | 2017 | 186 | |
| 6 | 2017 | 187 | |
| 7 | 2012 | 63 | |
| 8 | 2010 | 32 | |
| 9 | 2007 | 158 | |
| 10 | 2007 | 40 | |
| 11 | 2006 | 83 | |
| 12 | 2006 | 231 | |
| 13 | 2006 | 29 | |
| 14 | 2006 | 143 | |
| 15 | 2004 | 156 | |
| 16 | 2002 | 293 | |
| 17 | 2001 | 134 | |
| 18 | 1999 | 43 | |
| 19 | 1997 | 232 | |
| 20 | Protein–protein interactions and 5'-splice-site recognition in mammalian mRNA precursors Hit paper breakdown → | 1994 | 545 |
About Cindy L. Will
Cindy L. Will is a scholar working on Molecular Biology, Aging, Genetics, Cardiology and Cardiovascular Medicine and Endocrine and Autonomic Systems, having authored 87 papers that have together received 10.4k indexed citations. Recurring topics across this work include RNA Research and Splicing (78 papers), RNA and protein synthesis mechanisms (68 papers), RNA modifications and cancer (55 papers), Viral Infections and Immunology Research (6 papers), RNA Interference and Gene Delivery (5 papers), Nuclear Structure and Function (4 papers), Genomics and Chromatin Dynamics (4 papers) and Protein Structure and Dynamics (2 papers). The work is most often cited by research in Molecular Biology (9.8k citations), Structural Biology (87 citations), Genetics (620 citations), Aging (78 citations) and Cancer Research (562 citations). Cindy L. Will has collaborated with scholars based in Germany, United States and Finland. Frequent co-authors include Reinhard Lührmann, M.C. Wahl, Henning Urlaub, Holger Stark, Berthold Kastner, Klaus Hartmuth, James L. Manley, Sergey Bessonov, Evgeny M. Makarov and Dmitry E. Agafonov. Their work appears in journals such as RNA, Molecular Cell, The EMBO Journal, Molecular and Cellular Biology and Science.
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.