R.C. Hillig
- Immunology top 10%
- T-cell and B-cell Immunology 3
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- Protein Structure and Dynamics 5
- Melanoma and MAPK Pathways 5
- Protein Kinase Regulation and GTPase Signaling 5
- Chemical Synthesis and Analysis 3
- Physiology top 10%
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- Computational Drug Discovery Methods 6
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- Enzyme Structure and Function 6
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- Monoclonal and Polyclonal Antibodies Research 4
- Co-authors
- Louis RenaultAndreas ZieglerWolfram SaengerMartin HülsmeyerUrsula EgnerAlfred WittinghoferJörg D. BeckerBarbara Uchańska‐Ziegler
- Journals
- Journal of Medicinal Chemistry (4 papers)Bioorganic & Medicinal Chemistry Letters (3 papers)Journal of Biological Chemistry (3 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
R.C. Hillig
31 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 94
- Immunology 275
- Molecular Biology 668
- Physiology 39
- Cancer Research 122
- Cell Biology 91
Countries citing papers authored by R.C. Hillig
This map shows the geographic impact of R.C. Hillig'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 R.C. Hillig with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R.C. Hillig more than expected).
Fields of papers citing papers by R.C. Hillig
This network shows the impact of papers produced by R.C. Hillig. 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 R.C. Hillig. The network helps show where R.C. Hillig may publish in the future.
Co-authorship network
The 25 scholars most cited alongside R.C. Hillig, 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 | 0 | |
| 2 | 2022 | 14 | |
| 3 | 2022 | 19 | |
| 4 | 2021 | 89 | |
| 5 | 2015 | 5 | |
| 6 | 2013 | 15 | |
| 7 | 2011 | 16 | |
| 8 | 2008 | 1 | |
| 9 | 2008 | 36 | |
| 10 | 2008 | 8 | |
| 11 | 2008 | 33 | |
| 12 | 2007 | 2 | |
| 13 | 2007 | 29 | |
| 14 | 2006 | 5 | |
| 15 | 2004 | 21 | |
| 16 | 2004 | 61 | |
| 17 | 2003 | 58 | |
| 18 | 2002 | 84 | |
| 19 | 2001 | 50 | |
| 20 | 1999 | 96 |
About R.C. Hillig
R.C. Hillig is a scholar working on Computational Theory and Mathematics, Molecular Biology, Immunology, Toxicology and Cell Biology, having authored 32 papers that have together received 1.0k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (6 papers), Enzyme Structure and Function (6 papers), Protein Structure and Dynamics (5 papers), Melanoma and MAPK Pathways (5 papers), Protein Kinase Regulation and GTPase Signaling (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Chemical Synthesis and Analysis (3 papers) and T-cell and B-cell Immunology (3 papers). The work is most often cited by research in Immunology (275 citations), Molecular Biology (668 citations), Physiology (39 citations), Cancer Research (122 citations) and Cell Biology (91 citations). R.C. Hillig has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Louis Renault, Andreas Ziegler, Wolfram Saenger, Martin Hülsmeyer, Ursula Egner, Alfred Wittinghofer, Jörg D. Becker, Barbara Uchańska‐Ziegler, Armin Volz and Theodore L. Drell. Their work appears in journals such as Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry Letters, Journal of Biological Chemistry, Journal of Molecular Biology and Acta Crystallographica Section D Structural Biology.
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.