Celia A. Schiffer

12.0k citations
214 papers · 8.2k · h-index 54

Impact in

  • Virology top 0.1%
    • HIV Research and Treatment
    • HIV/AIDS drug development and treatment
    • HIV/AIDS Research and Interventions

Papers in

    • HIV/AIDS drug development and treatment 112
    • Protein Structure and Dynamics 32
    • RNA and protein synthesis mechanisms 21
    • Biochemical and Molecular Research 18

Celia A. Schiffer

209 papers receiving 8.1k citations

Peers

Celia A. Schiffer
Comparison fields: 5 of 148
  • Virology 3.4k
  • Infectious Diseases 4.1k
  • Hepatology 963
  • Molecular Biology 3.8k
  • Computational Theory and Mathematics 846
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Celia A. Schiffer relative to Irene T. Weber United States Irene T. Weber's profile →
Citations per field
00.5×1.5×2.1×
Irene T. Weber · 1×
Citations per year

Countries citing papers authored by Celia A. Schiffer

Since Specialization
Citations

This map shows the geographic impact of Celia A. Schiffer'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 Celia A. Schiffer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Celia A. Schiffer more than expected).

Fields of papers citing papers by Celia A. Schiffer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Celia A. Schiffer. 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 Celia A. Schiffer. The network helps show where Celia A. Schiffer may publish in the future.

Co-authors

The 25 scholars most cited alongside Celia A. Schiffer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Celia A. Schiffer Line = papers co-authored together Celia A. Schiffer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 214 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002262
2 2004199
3 2003194
4 2004191
5 2000170
6 2012155
7 2000144
8 2010144
9 2004116
10 2017115
11 2010113
12 2012111
13 2011104
14 2010102
15 201795
16 201494
17 200594
18 200294
19 200291
20 199590

About Celia A. Schiffer

Celia A. Schiffer is a scholar working on Infectious Diseases, Molecular Biology, Virology, Epidemiology and Hepatology, having authored 214 papers that have together received 8.2k indexed citations. Recurring topics across this work include HIV/AIDS drug development and treatment (112 papers), HIV Research and Treatment (104 papers), Hepatitis C virus research (36 papers), Protein Structure and Dynamics (32 papers), Monoclonal and Polyclonal Antibodies Research (23 papers), RNA and protein synthesis mechanisms (21 papers), Biochemical and Molecular Research (18 papers) and Computational Drug Discovery Methods (17 papers). The work is most often cited by research in Virology (3.4k citations), Infectious Diseases (4.1k citations), Hepatology (963 citations), Molecular Biology (3.8k citations) and Computational Theory and Mathematics (846 citations). Celia A. Schiffer has collaborated with scholars based in United States, Switzerland and Türkiye. Frequent co-authors include E.A. Nalivaika, M. Prabu-Jeyabalan, Neşe Kurt Yılmaz, Akbar Ali, Nancy M. P. King, M.N.L. Nalam, Walter R. P. Scott, William E. Royer, Ayşegül Özen and Hong Cao. Their work appears in journals such as Journal of Virology, Journal of Chemical Theory and Computation, ACS Chemical Biology, Journal of Molecular Biology and Journal of Medicinal Chemistry.

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.

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