Adam Richards

880 total citations
19 papers, 341 citations indexed

About

Adam Richards is a scholar working on Molecular Biology, Cell Biology and Biomedical Engineering. According to data from OpenAlex, Adam Richards has authored 19 papers receiving a total of 341 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 5 papers in Cell Biology and 2 papers in Biomedical Engineering. Recurrent topics in Adam Richards's work include Bioinformatics and Genomic Networks (4 papers), Cellular Mechanics and Interactions (4 papers) and Gene expression and cancer classification (4 papers). Adam Richards is often cited by papers focused on Bioinformatics and Genomic Networks (4 papers), Cellular Mechanics and Interactions (4 papers) and Gene expression and cancer classification (4 papers). Adam Richards collaborates with scholars based in United States, United Kingdom and France. Adam Richards's co-authors include Bäerbel Rohrer, Xinghua Lu, L. Ashley Cowart, Michael H. Brodsky, B.D. Hames, Matthew S. Shotwell, Majid Kazemian, Charles Blatti, Scot A. Wolfe and S Celniker and has published in prestigious journals such as Bioinformatics, The Journal of Immunology and Genome Research.

In The Last Decade

Adam Richards

18 papers receiving 338 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Adam Richards United States 11 272 53 37 33 26 19 341
Sunbin Liu Germany 9 527 1.9× 36 0.7× 20 0.5× 20 0.6× 16 0.6× 11 558
Angeline M. Lyon United States 11 429 1.6× 121 2.3× 64 1.7× 29 0.9× 17 0.7× 23 505
Thomas Zobel Germany 13 377 1.4× 125 2.4× 33 0.9× 58 1.8× 24 0.9× 18 472
Takuya Saiwaki Japan 8 422 1.6× 59 1.1× 16 0.4× 31 0.9× 15 0.6× 11 470
Manimekalai M. Thiyagarajan United States 9 342 1.3× 91 1.7× 24 0.6× 14 0.4× 15 0.6× 11 390
Ruian Yang China 7 194 0.7× 24 0.5× 10 0.3× 26 0.8× 15 0.6× 9 258
Klaudia Giehl Germany 4 195 0.7× 67 1.3× 18 0.5× 17 0.5× 57 2.2× 4 271
Mugdha Khaladkar United States 12 457 1.7× 20 0.4× 55 1.5× 38 1.2× 19 0.7× 16 591
Irina Kuznetsova Australia 12 580 2.1× 45 0.8× 23 0.6× 34 1.0× 15 0.6× 20 662
Matthew Bratkowski United States 10 309 1.1× 31 0.6× 16 0.4× 35 1.1× 5 0.2× 11 414

Countries citing papers authored by Adam Richards

Since Specialization
Citations

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

Fields of papers citing papers by Adam Richards

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adam Richards

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

All Works

19 of 19 papers shown
1.
Richards, Adam, Thibault Scalvenzi, Karen Moore, et al.. (2021). Transcriptomic analysis of the trade-off between endurance and burst-performance in the frog Xenopus allofraseri. BMC Genomics. 22(1). 204–204. 3 indexed citations
2.
Richards, Adam, Janet Staats, Katherine McKinnon, et al.. (2014). Setting objective thresholds for rare event detection in flow cytometry. Journal of Immunological Methods. 409. 54–61. 9 indexed citations
3.
Richards, Adam, Andrzej S. Kosinski, Camille Bonneaud, Delphine Legrand, & Kouros Owzar. (2013). lpEdit: an editor to facilitate reproducible analysis via literate programming. Proceedings of the Python in Science Conferences. 81–85.
4.
Enuameh, Metewo Selase, Adam Richards, Ryan Christensen, et al.. (2013). Global analysis of Drosophila Cys2-His2 zinc finger proteins reveals a multitude of novel recognition motifs and binding determinants. Genome Research. 23(6). 928–940. 57 indexed citations
5.
Richards, Adam, John H. Schwacke, Bärbel Rohrer, L. Ashley Cowart, & Xinghua Lu. (2012). Revealing functionally coherent subsets using a spectral clustering and an information integration approach. BMC Systems Biology. 6(Suppl 3). S7–S7. 7 indexed citations
6.
Frelinger, Jacob, Adam Richards, & Cliburn Chan. (2012). Fcm - A python library for flow cytometry. Proceedings of the Python in Science Conferences. 46–50. 1 indexed citations
7.
Norris, Russell A., Ricardo A. Moreno‐Rodriguez, Andy Wessels, et al.. (2010). Expression of the familial cardiac valvular dystrophy gene, filamin‐A, during heart morphogenesis. Developmental Dynamics. 239(7). 2118–2127. 37 indexed citations
8.
Guikema, Jeroen E. J., Carol E. Schrader, Michael H. Brodsky, et al.. (2010). p53 Represses Class Switch Recombination to IgG2a through Its Antioxidant Function. The Journal of Immunology. 184(11). 6177–6187. 20 indexed citations
9.
Chen, Y. Ann, Jonas S. Almeida, Adam Richards, et al.. (2010). A Nonparametric Approach to Detect Nonlinear Correlation in Gene Expression. Journal of Computational and Graphical Statistics. 19(3). 552–568. 20 indexed citations
10.
Kazemian, Majid, Charles Blatti, Adam Richards, et al.. (2010). Quantitative Analysis of the Drosophila Segmentation Regulatory Network Using Pattern Generating Potentials. PLoS Biology. 8(8). e1000456–e1000456. 58 indexed citations
11.
Richards, Adam, Brian Muller, Matthew S. Shotwell, et al.. (2010). Assessing the functional coherence of gene sets with metrics based on the Gene Ontology graph. Bioinformatics. 26(12). i79–i87. 18 indexed citations
12.
Cowart, L. Ashley, Matthew S. Shotwell, Mitchell L. Worley, et al.. (2010). Revealing a signaling role of phytosphingosine‐1‐phosphate in yeast. Molecular Systems Biology. 6(1). 349–349. 42 indexed citations
13.
Muller, Brian, Adam Richards, Bo Jin, & Xinghua Lu. (2009). GOGrapher: A Python library for GO graph representation and analysis. BMC Research Notes. 2(1). 122–122. 10 indexed citations
14.
Richards, Adam, et al.. (2006). Long-term ERG analysis in the partially light-damaged mouse retina reveals regressive and compensatory changes. Visual Neuroscience. 23(1). 91–97. 22 indexed citations
15.
Allen, Matthew R., F. Genova, S. Derriére, et al.. (2006). Proceedings of Astronomical Data Analysis Software and Systems XXII. 1 indexed citations
16.
Richards, Adam, et al.. (1990). Developmental regulation of cell‐type‐enriched mRNAs in Dictyostelium discoideum. Molecular Microbiology. 4(4). 613–623. 16 indexed citations
17.
Richards, Adam, et al.. (1990). Developmental expression and characterization of the gene encoding spore coat protein SP60 in Dictyostelium discoideum. Molecular Microbiology. 4(6). 951–960. 10 indexed citations
18.
Richards, Adam, et al.. (1990). Cell‐type‐specific genes expressed late in Dictyostelium development show markedly different responses to 3′ 5′ cyclic AMP. Molecular Microbiology. 4(8). 1279–1291. 8 indexed citations
19.
Ramji, Dipak P., et al.. (1990). Two cyclic AMP‐regulated genes from Dictyostelium discoideum encode homologous proteins. Molecular Microbiology. 4(1). 129–135. 2 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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