Mark R. Riley

90 total papers · 2.9k total citations
66 papers, 2.2k citations indexed

About

Mark R. Riley is a scholar working on Molecular Biology, Biomedical Engineering and Biophysics. According to data from OpenAlex, Mark R. Riley has authored 66 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 20 papers in Biomedical Engineering and 18 papers in Biophysics. Recurrent topics in Mark R. Riley's work include Spectroscopy Techniques in Biomedical and Chemical Research (18 papers), Spectroscopy and Chemometric Analyses (12 papers) and Viral Infectious Diseases and Gene Expression in Insects (9 papers). Mark R. Riley is often cited by papers focused on Spectroscopy Techniques in Biomedical and Chemical Research (18 papers), Spectroscopy and Chemometric Analyses (12 papers) and Viral Infectious Diseases and Gene Expression in Insects (9 papers). Mark R. Riley collaborates with scholars based in United States, France and Germany. Mark R. Riley's co-authors include Sadettin S. Ozturk, Bernhard Ø. Palsson, Pierre Lucas, Bruno Bureau, Catherine Boussard‐Plédel, David W. Murhammer, Mark A. Arnold, Charles P. Gerba, David Le Coq and Luis E. Muñoz and has published in prestigious journals such as Applied and Environmental Microbiology, Analytical Biochemistry and Chemosphere.

In The Last Decade

Mark R. Riley

65 papers receiving 2.1k citations

Author Peers

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

Author						Papers	Cites
Mark R. Riley	724	616	460	323	274	66	2.2k
Sajan D. George	441 0.6×	863 1.4×	805 1.8×	471 1.5×	128 0.5×	190	2.9k
Nirmal Mazumder	449 0.6×	689 1.1×	292 0.6×	121 0.4×	330 1.2×	151	2.4k
Xingxing Yang	360 0.5×	394 0.6×	839 1.8×	423 1.3×	130 0.5×	90	2.1k
Olivier Sire	356 0.5×	244 0.4×	400 0.9×	246 0.8×	137 0.5×	97	2.5k
Fred P. Milanovich	403 0.6×	731 1.2×	120 0.3×	337 1.0×	80 0.3×	57	1.6k
Xing Liu	1.3k 1.8×	853 1.4×	409 0.9×	255 0.8×	28 0.1×	129	2.6k
Caixia Wang	808 1.1×	542 0.9×	474 1.0×	124 0.4×	33 0.1×	149	2.6k
Chantal Compère	597 0.8×	529 0.9×	620 1.3×	476 1.5×	62 0.2×	72	2.3k
George A. Stanciu	199 0.3×	595 1.0×	500 1.1×	352 1.1×	189 0.7×	163	1.6k
John F. McClelland	265 0.4×	498 0.8×	155 0.3×	134 0.4×	105 0.4×	73	1.8k

Countries citing papers authored by Mark R. Riley

Since Specialization

Citations

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

Fields of papers citing papers by Mark R. Riley

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark R. Riley

This figure shows the co-authorship network connecting the top 25 collaborators of Mark R. Riley. A scholar is included among the top collaborators of Mark R. Riley 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 Mark R. Riley. Mark R. Riley 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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