Daniel R. Richards

5.5k total citations · 1 hit paper
8 papers, 1.6k citations indexed

About

Daniel R. Richards is a scholar working on Molecular Biology, Cell Biology and Genetics. According to data from OpenAlex, Daniel R. Richards has authored 8 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Cell Biology and 2 papers in Genetics. Recurrent topics in Daniel R. Richards's work include Bioinformatics and Genomic Networks (3 papers), vaccines and immunoinformatics approaches (1 paper) and Genomics and Rare Diseases (1 paper). Daniel R. Richards is often cited by papers focused on Bioinformatics and Genomic Networks (3 papers), vaccines and immunoinformatics approaches (1 paper) and Genomics and Rare Diseases (1 paper). Daniel R. Richards collaborates with scholars based in United States and Switzerland. Daniel R. Richards's co-authors include Michael Mindrinos, Bernard H. Brownstein, Carol Miller‐Graziano, Lyle L. Moldawer, Henry V. Baker, J. Perren Cobb, Ronald W. Davis, Ronald G. Tompkins, Wenzhong Xiao and Ramon M. Felciano and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and The Plant Cell.

In The Last Decade

Daniel R. Richards

8 papers receiving 1.6k citations

Hit Papers

A network-based analysis of systemic inflammation in humans 2005 2026 2012 2019 2005 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel R. Richards United States 6 913 335 288 175 164 8 1.6k
Hong Zhou China 27 837 0.9× 393 1.2× 361 1.3× 133 0.8× 86 0.5× 65 1.8k
Ulrich Deschl Germany 26 592 0.6× 368 1.1× 346 1.2× 159 0.9× 125 0.8× 54 2.0k
Lili Tian China 23 818 0.9× 182 0.5× 217 0.8× 171 1.0× 127 0.8× 68 1.5k
Song Zhao China 20 693 0.8× 131 0.4× 187 0.6× 187 1.1× 102 0.6× 57 1.3k
M. Potier France 22 719 0.8× 209 0.6× 525 1.8× 314 1.8× 83 0.5× 49 2.1k
Xueping Yu China 25 1.0k 1.1× 241 0.7× 433 1.5× 129 0.7× 63 0.4× 77 1.9k
Mei‐Ping Chang United States 20 840 0.9× 412 1.2× 192 0.7× 121 0.7× 94 0.6× 57 1.6k
Xiaoguang Sun United States 24 834 0.9× 189 0.6× 257 0.9× 127 0.7× 100 0.6× 68 1.7k
Shigeyuki Arai Japan 22 481 0.5× 502 1.5× 146 0.5× 164 0.9× 155 0.9× 85 1.7k
Abdul R. Asif Germany 29 1.1k 1.2× 183 0.5× 193 0.7× 155 0.9× 203 1.2× 92 2.2k

Countries citing papers authored by Daniel R. Richards

Since Specialization
Citations

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

Fields of papers citing papers by Daniel R. Richards

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel R. Richards

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

All Works

8 of 8 papers shown
1.
Krämer, A., et al.. (2017). Leveraging network analytics to infer patient syndrome and identify causal genes in rare disease cases. BMC Genomics. 18(S5). 551–551. 5 indexed citations
2.
Felciano, Ramon M., Sina Bavari, Daniel R. Richards, et al.. (2012). PREDICTIVE SYSTEMS BIOLOGY APPROACH TO BROAD-SPECTRUM, HOST-DIRECTED DRUG TARGET DISCOVERY IN INFECTIOUS DISEASES. PubMed. 17–28. 26 indexed citations
3.
Tsubouchi, Tomomi, Beth Rockmill, Daniel R. Richards, et al.. (2008). Global Analysis of the Meiotic Crossover Landscape. Developmental Cell. 15(3). 401–415. 164 indexed citations
4.
Laudański, Krzysztof, Carol Miller‐Graziano, Wenzhong Xiao, et al.. (2006). Cell-specific expression and pathway analyses reveal alterations in trauma-related human T cell and monocyte pathways. Proceedings of the National Academy of Sciences. 103(42). 15564–15569. 82 indexed citations
5.
Krämer, A., et al.. (2006). Functional Modularity in a Large-Scale Mammalian Molecular Interaction Network. 161–163. 2 indexed citations
6.
Calvano, Steve E., Wenzhong Xiao, Daniel R. Richards, et al.. (2005). A network-based analysis of systemic inflammation in humans. Nature. 437(7061). 1032–1037. 1129 indexed citations breakdown →
7.
Winzeler, Elizabeth A., Cristian I. Castillo-Davis, Guy Oshiro, et al.. (2003). Genetic Diversity in Yeast Assessed With Whole-Genome Oligonucleotide Arrays. Genetics. 163(1). 79–89. 145 indexed citations
8.
Mindrinos, Michael, Christian Fankhauser, Daniel R. Richards, et al.. (2000). Cloning of the Arabidopsis RSF1 Gene by Using a Mapping Strategy Based on High-Density DNA Arrays and Denaturing High-Performance Liquid Chromatography. The Plant Cell. 12(12). 2485–2498. 42 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026