Daniel G. Rudmann

43 total papers · 1.5k total citations
28 papers, 1.0k citations indexed

About

Daniel G. Rudmann is a scholar working on Genetics, Molecular Biology and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Daniel G. Rudmann has authored 28 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Genetics, 9 papers in Molecular Biology and 4 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Daniel G. Rudmann's work include Virus-based gene therapy research (4 papers), Estrogen and related hormone effects (4 papers) and Effects and risks of endocrine disrupting chemicals (4 papers). Daniel G. Rudmann is often cited by papers focused on Virus-based gene therapy research (4 papers), Estrogen and related hormone effects (4 papers) and Effects and risks of endocrine disrupting chemicals (4 papers). Daniel G. Rudmann collaborates with scholars based in United States, Netherlands and Germany. Daniel G. Rudmann's co-authors include Mark W. Moore, Shawn M. Heidel, Jeffrey C. Hanson, James T. Alston, Angela M. Preston, James M. Beck, Kristin Wilson, Stephen K. Durham, Joseph S. Krueger and Roberto Gianani and has published in prestigious journals such as The Journal of Immunology, Cancer Research and Endocrinology.

In The Last Decade

Daniel G. Rudmann

27 papers receiving 978 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Daniel G. Rudmann 331 145 136 134 128 28 1.0k
H. E. M. Kay 449 1.4× 141 1.0× 110 0.8× 155 1.2× 134 1.0× 36 1.2k
Charles A. Kennedy 292 0.9× 202 1.4× 55 0.4× 201 1.5× 109 0.9× 31 1.0k
Chaoqun Han 338 1.0× 126 0.9× 104 0.8× 281 2.1× 95 0.7× 51 1.1k
C.E. Hulstaert 350 1.1× 106 0.7× 99 0.7× 129 1.0× 164 1.3× 38 1.2k
Ola H. Negm 477 1.4× 76 0.5× 109 0.8× 209 1.6× 163 1.3× 44 888
J J Gibbons 446 1.3× 86 0.6× 128 0.9× 250 1.9× 220 1.7× 24 986
C Rowlatt 437 1.3× 63 0.4× 86 0.6× 200 1.5× 74 0.6× 36 978
Klaartje Kok 364 1.1× 141 1.0× 223 1.6× 81 0.6× 202 1.6× 33 835
Catherine Ross 291 0.9× 91 0.6× 71 0.5× 108 0.8× 163 1.3× 37 924
Scott A. Koepsell 312 0.9× 104 0.7× 116 0.9× 171 1.3× 141 1.1× 45 1.1k

Countries citing papers authored by Daniel G. Rudmann

Since Specialization
Citations

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

Fields of papers citing papers by Daniel G. Rudmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel G. Rudmann. 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 Daniel G. Rudmann. The network helps show where Daniel G. Rudmann may publish in the future.

Co-authorship network of co-authors of Daniel G. Rudmann

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel G. Rudmann. A scholar is included among the top collaborators of Daniel G. Rudmann 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 Daniel G. Rudmann. Daniel G. Rudmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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