Christel Kamp

952 total citations
27 papers, 724 citations indexed

About

Christel Kamp is a scholar working on Genetics, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Christel Kamp has authored 27 papers receiving a total of 724 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Genetics, 7 papers in Molecular Biology and 7 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Christel Kamp's work include Mathematical and Theoretical Epidemiology and Ecology Models (7 papers), Evolution and Genetic Dynamics (6 papers) and HIV Research and Treatment (5 papers). Christel Kamp is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (7 papers), Evolution and Genetic Dynamics (6 papers) and HIV Research and Treatment (5 papers). Christel Kamp collaborates with scholars based in Germany, United Kingdom and France. Christel Kamp's co-authors include Stefan Bornholdt, E. Kellenberger, Emmanuel D. Levy, José B. Pereira‐Leal, Sarah A. Teichmann, M. Heiden, Mathieu Moslonka‐Lefebvre, Samuel Alizon, Claus O. Wilke and Christoph Adami and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and PLoS ONE.

In The Last Decade

Christel Kamp

25 papers receiving 688 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Christel Kamp Germany 16 310 166 106 94 89 27 724
Kieran J. Sharkey United Kingdom 16 113 0.4× 64 0.4× 139 1.3× 167 1.8× 35 0.4× 35 694
Johannes Müller Germany 14 148 0.5× 142 0.9× 100 0.9× 43 0.5× 33 0.4× 66 541
Kevin B. Wood United States 17 279 0.9× 298 1.8× 62 0.6× 138 1.5× 63 0.7× 33 785
Richard J. Bingham United Kingdom 14 272 0.9× 70 0.4× 74 0.7× 25 0.3× 176 2.0× 21 702
Jianjun Paul Tian United States 17 229 0.7× 356 2.1× 240 2.3× 26 0.3× 43 0.5× 55 915
Daniel Schultz United States 17 749 2.4× 359 2.2× 25 0.2× 65 0.7× 104 1.2× 46 1.1k
Marco V. José Mexico 18 464 1.5× 151 0.9× 29 0.3× 14 0.1× 97 1.1× 97 978
Michael Altmann Switzerland 34 2.5k 7.9× 202 1.2× 136 1.3× 61 0.6× 82 0.9× 72 3.0k
Ville Mustonen United Kingdom 24 1.3k 4.1× 1.0k 6.3× 139 1.3× 48 0.5× 84 0.9× 52 2.2k
Pavel Skums United States 16 247 0.8× 132 0.8× 42 0.4× 13 0.1× 90 1.0× 64 743

Countries citing papers authored by Christel Kamp

Since Specialization
Citations

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

Fields of papers citing papers by Christel Kamp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christel Kamp. 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 Christel Kamp. The network helps show where Christel Kamp may publish in the future.

Co-authorship network of co-authors of Christel Kamp

This figure shows the co-authorship network connecting the top 25 collaborators of Christel Kamp. A scholar is included among the top collaborators of Christel Kamp based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Christel Kamp. Christel Kamp is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Bartel, Detlef, et al.. (2025). Identification of therapeutic allergen products using their Raman spectral fingerprint. Chemometrics and Intelligent Laboratory Systems. 260. 105340–105340.
2.
Kamp, Christel, et al.. (2022). Tailoring Codon Usage to the Underlying Biology for Protein Expression Optimization. Methods in molecular biology. 2406. 85–92.
3.
Bagola, Katrin, Tharshana Stephen, Stefan Schülke, et al.. (2021). Distinct single-component adjuvants steer human DC-mediated T-cell polarization via Toll-like receptor signaling toward a potent antiviral immune response. Proceedings of the National Academy of Sciences. 118(39). 18 indexed citations
4.
Böller, Klaus, et al.. (2020). Evaluation of the in vitro Function of Platelet Concentrates from Pooled Buffy Coats or Apheresis. Transfusion Medicine and Hemotherapy. 47(4). 314–325. 5 indexed citations
5.
Loessner, Holger, Benjamin Hofner, Andreas Reuter, et al.. (2019). Optimizing the dynamics of protein expression. Scientific Reports. 9(1). 7511–7511. 23 indexed citations
6.
Bedhomme, Stéphanie, et al.. (2015). Cancer, Warts, or Asymptomatic Infections: Clinical Presentation Matches Codon Usage Preferences in Human Papillomaviruses. Genome Biology and Evolution. 7(8). 2117–2135. 14 indexed citations
7.
Wintterle, Sabine, Adrian Schwarzer, Christel Kamp, et al.. (2015). Inhibition of Thrombopoietin/Mpl Signaling in Adult Hematopoiesis Identifies New Candidates for Hematopoietic Stem Cell Maintenance. PLoS ONE. 10(7). e0131866–e0131866. 12 indexed citations
8.
Kamp, Christel, Mathieu Moslonka‐Lefebvre, & Samuel Alizon. (2013). Epidemic Spread on Weighted Networks. PLoS Computational Biology. 9(12). e1003352–e1003352. 44 indexed citations
9.
Münk, Carsten, Björn‐Erik Ole Jensen, Jörg Zielonka, Dieter Häussinger, & Christel Kamp. (2012). Running Loose or Getting Lost: How HIV-1 Counters and Capitalizes on APOBEC3-Induced Mutagenesis through Its Vif Protein. Viruses. 4(11). 3132–3161. 20 indexed citations
10.
Kamp, Christel. (2011). MIXING PATTERNS AMONG EPIDEMIC GROUPS. Advances in Complex Systems. 14(4). 537–547. 1 indexed citations
11.
Kamp, Christel. (2010). Untangling the Interplay between Epidemic Spread and Transmission Network Dynamics. PLoS Computational Biology. 6(11). e1000984–e1000984. 53 indexed citations
12.
Kamp, Christel, Timo Wolf, Ignacio G. Bravo, et al.. (2010). Decreased HIV diversity after allogeneic stem cell transplantation of an HIV-1 infected patient: a case report. Virology Journal. 7(1). 55–55. 6 indexed citations
13.
Kamp, Christel, et al.. (2009). Management of blood supplies during an influenza pandemic. Transfusion. 50(1). 231–239. 36 indexed citations
14.
Kamp, Christel. (2009). Understanding the HIV coreceptor switch from a dynamical perspective. BMC Evolutionary Biology. 9(1). 274–274. 11 indexed citations
15.
Waibler, Zoe, Christel Kamp, Jan Müller‐Berghaus, et al.. (2008). Toward experimental assessment of receptor occupancy: TGN1412 revisited. Journal of Allergy and Clinical Immunology. 122(5). 890–892. 31 indexed citations
16.
Pereira‐Leal, José B., Emmanuel D. Levy, Christel Kamp, & Sarah A. Teichmann. (2007). Evolution of protein complexes by duplication of homomeric interactions. Genome biology. 8(4). R51–R51. 149 indexed citations
17.
Kamp, Christel & Kim Christensen. (2005). Spectral analysis of protein-protein interactions inDrosophila melanogaster. Physical Review E. 71(4). 41911–41911. 20 indexed citations
18.
Kamp, Christel. (2003). A quasispecies approach to viral evolution in the context of an adaptive immune system. Microbes and Infection. 5(15). 1397–1405. 16 indexed citations
19.
Kamp, Christel & Stefan Bornholdt. (2002). Coevolution of Quasispecies: B-Cell Mutation Rates Maximize Viral Error Catastrophes. Physical Review Letters. 88(6). 68104–68104. 58 indexed citations
20.
Kellenberger, E. & Christel Kamp. (1970). On a modification of the gene product P23 according to its use as subunit of either normal capsids of phage T4 or of polyheads. FEBS Letters. 8(3). 140–144. 77 indexed citations

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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