Claudia Neuhauser

3.6k total citations
71 papers, 2.4k citations indexed

About

Claudia Neuhauser is a scholar working on Genetics, Mathematical Physics and Molecular Biology. According to data from OpenAlex, Claudia Neuhauser has authored 71 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Genetics, 17 papers in Mathematical Physics and 15 papers in Molecular Biology. Recurrent topics in Claudia Neuhauser's work include Evolution and Genetic Dynamics (19 papers), Stochastic processes and statistical mechanics (17 papers) and Plant and animal studies (11 papers). Claudia Neuhauser is often cited by papers focused on Evolution and Genetic Dynamics (19 papers), Stochastic processes and statistical mechanics (17 papers) and Plant and animal studies (11 papers). Claudia Neuhauser collaborates with scholars based in United States, Germany and France. Claudia Neuhauser's co-authors include Stephen M. Krone, Stephen W. Pacala, Antony M. Dean, Benjamin Kerr, Brendan J. M. Bohannan, Rick Durrett, Joseph Fargione, Benjamin M. Bolker, Stuart Wagenius and George E. Heimpel and has published in prestigious journals such as Nature, The Journal of Immunology and Ecology.

In The Last Decade

Claudia Neuhauser

68 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Claudia Neuhauser United States 23 891 612 435 408 399 71 2.4k
Tamás Czárán Hungary 23 812 0.9× 389 0.6× 311 0.7× 571 1.4× 687 1.7× 47 2.1k
Jonathan W. Pitchford United Kingdom 27 422 0.5× 613 1.0× 485 1.1× 219 0.5× 855 2.1× 60 2.8k
Kohkichi Kawasaki Japan 19 1.1k 1.3× 471 0.8× 664 1.5× 237 0.6× 148 0.4× 33 3.0k
István Scheuring Hungary 27 830 0.9× 458 0.7× 168 0.4× 859 2.1× 299 0.7× 82 2.2k
Hugh N. Comins Australia 14 722 0.8× 565 0.9× 452 1.0× 392 1.0× 275 0.7× 18 2.0k
Amaury Lambert France 27 1.4k 1.6× 970 1.6× 694 1.6× 186 0.5× 1.1k 2.8× 102 4.6k
Jin Yoshimura Japan 28 995 1.1× 1.2k 1.9× 566 1.3× 463 1.1× 248 0.6× 175 2.7k
Stephen M. Krone United States 21 802 0.9× 188 0.3× 182 0.4× 182 0.4× 476 1.2× 45 2.3k
Robert A. Desharnais United States 28 709 0.8× 482 0.8× 481 1.1× 328 0.8× 138 0.3× 58 2.4k
Alex James New Zealand 24 296 0.3× 493 0.8× 463 1.1× 262 0.6× 785 2.0× 89 2.9k

Countries citing papers authored by Claudia Neuhauser

Since Specialization
Citations

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

Fields of papers citing papers by Claudia Neuhauser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claudia Neuhauser

This figure shows the co-authorship network connecting the top 25 collaborators of Claudia Neuhauser. A scholar is included among the top collaborators of Claudia Neuhauser 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 Claudia Neuhauser. Claudia Neuhauser 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.
Lange, Margaret J., R. Scott Rector, Laura C. Schulz, et al.. (2023). Lower female survival from an opportunistic infection reveals progesterone-driven sex bias in trained immunity. Cell Reports. 42(8). 113007–113007. 4 indexed citations
2.
Jung, Mi-Yeon, et al.. (2018). In Vivo Estimation of Oncolytic Virus Populations within Tumors. Cancer Research. 78(20). 5992–6000. 14 indexed citations
3.
Clark, Adam Thomas & Claudia Neuhauser. (2018). Harnessing uncertainty to approximate mechanistic models of interspecific interactions. Theoretical Population Biology. 123. 35–44. 3 indexed citations
4.
Scheid, Adam D., Virginia P. Van Keulen, Sara J. Felts, et al.. (2018). Gene Expression Signatures Characterized by Longitudinal Stability and Interindividual Variability Delineate Baseline Phenotypic Groups with Distinct Responses to Immune Stimulation. The Journal of Immunology. 200(5). 1917–1928. 4 indexed citations
5.
Kemler, Iris, et al.. (2018). In Vivo Imaging of Oncolytic Measles Virus Propagation with Single-Cell Resolution. Molecular Therapy — Oncolytics. 12. 68–78. 11 indexed citations
6.
Tian, Shulan, Huihuang Yan, Claudia Neuhauser, & Susan L. Slager. (2016). An analytical workflow for accurate variant discovery in highly divergent regions. BMC Genomics. 17(1). 703–703. 16 indexed citations
7.
Cooper, Jacob D., Claudia Neuhauser, Antony M. Dean, & Benjamin Kerr. (2015). Tipping the mutation–selection balance: Limited migration increases the frequency of deleterious mutants. Journal of Theoretical Biology. 380. 123–133. 6 indexed citations
8.
Lanchier, Nicolas & Claudia Neuhauser. (2009). Spatially explicit non-Mendelian diploid model. The Annals of Applied Probability. 19(5). 8 indexed citations
9.
Neuhauser, Claudia, et al.. (2008). Comparison of S-(+)-ketamine- with sufentanil-based anaesthesia for elective coronary artery bypass graft surgery: effect on troponin T levels. British Journal of Anaesthesia. 100(6). 765–771. 13 indexed citations
10.
Lanchier, Nicolas & Claudia Neuhauser. (2007). Voter Model and Biased Voter Model in Heterogeneous Environments. Journal of Applied Probability. 44(3). 770–787. 2 indexed citations
11.
Wagenius, Stuart, Eric V. Lonsdorf, & Claudia Neuhauser. (2007). Patch Aging and theS‐Allee Effect: Breeding System Effects on the Demographic Response of Plants to Habitat Fragmentation. The American Naturalist. 169(3). 383–397. 109 indexed citations
12.
Neuhauser, Claudia. (2004). Matemáticas para ciencias. Dialnet (Universidad de la Rioja). 16(3). 452–7.
13.
Dean, Antony M., et al.. (2002). The Pattern of Amino Acid Replacements in α/β-Barrels. Molecular Biology and Evolution. 19(11). 1846–1864. 49 indexed citations
14.
Neuhauser, Claudia. (2002). Effects of Local Interactions and Local Migration on Stability. Theoretical Population Biology. 62(3). 297–308. 2 indexed citations
15.
Pletcher, Scott D & Claudia Neuhauser. (2000). BIOLOGICAL AGING — CRITERIA FOR MODELING AND A NEW MECHANISTIC MODEL. International Journal of Modern Physics C. 11(3). 525–546. 22 indexed citations
16.
Neuhauser, Claudia. (1998). Habitat Destruction and Competitive Coexistence in Spatially Explicit Models with Local Interactions. Journal of Theoretical Biology. 193(3). 445–463. 50 indexed citations
17.
Bramson, Maury & Claudia Neuhauser. (1997). Coexistence for a catalytic surface reaction model. The Annals of Applied Probability. 7(3). 5 indexed citations
18.
Lebowitz, Joel L., Claudia Neuhauser, & K. Ravishankar. (1996). Dynamics of a spin-exchange model. Stochastic Processes and their Applications. 64(2). 187–208. 1 indexed citations
19.
Durrett, Rick & Claudia Neuhauser. (1994). Particle Systems and Reaction-Diffusion Equations. The Annals of Probability. 22(1). 70 indexed citations
20.
Neuhauser, Claudia. (1994). A long range sexual reproduction process. Stochastic Processes and their Applications. 53(2). 193–220. 12 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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