G Riess

19 total papers · 580 total citations
15 papers, 508 citations indexed

About

G Riess is a scholar working on Infectious Diseases, Virology and Molecular Biology. According to data from OpenAlex, G Riess has authored 15 papers receiving a total of 508 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Infectious Diseases, 10 papers in Virology and 8 papers in Molecular Biology. Recurrent topics in G Riess's work include HIV/AIDS drug development and treatment (11 papers), HIV Research and Treatment (10 papers) and Biochemical and Molecular Research (5 papers). G Riess is often cited by papers focused on HIV/AIDS drug development and treatment (11 papers), HIV Research and Treatment (10 papers) and Biochemical and Molecular Research (5 papers). G Riess collaborates with scholars based in Germany, Belgium and United States. G Riess's co-authors include Irvin Winkler, Manfred Rösner, Arno Paessens, J P Kleim, C Meichsner, Y. Hsiou, Eddy Arnold, Erik De Clercq, Reinhard Kirsch and R. Bender and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Biotechnology and Journal of Molecular Biology.

In The Last Decade

G Riess

15 papers receiving 485 citations

Author Peers

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

Author						Papers	Cites
G Riess	359	329	173	139	69	15	508
T K Sawyer	411 1.1×	389 1.2×	178 1.0×	89 0.6×	63 0.9×	9	583
Miguel Stevens	186 0.5×	199 0.6×	190 1.1×	234 1.7×	78 1.1×	15	609
R W Buckheit	221 0.6×	204 0.6×	161 0.9×	191 1.4×	82 1.2×	14	502
Imma Clotet‐Codina	270 0.8×	271 0.8×	147 0.8×	234 1.7×	106 1.5×	21	538
Stephen A. Fakhoury	296 0.8×	252 0.8×	251 1.5×	215 1.5×	36 0.5×	10	541
Scott R. Budihas	291 0.8×	219 0.7×	316 1.8×	66 0.5×	109 1.6×	12	525
Peter J. Whittle	276 0.8×	244 0.7×	234 1.4×	169 1.2×	32 0.5×	15	554
Prasanth R. Nyalapatla	255 0.7×	120 0.4×	99 0.6×	136 1.0×	57 0.8×	17	449
C.E. Nichols	236 0.7×	195 0.6×	263 1.5×	40 0.3×	43 0.6×	14	450
Suhman Chung	213 0.6×	149 0.5×	312 1.8×	142 1.0×	52 0.8×	17	514

Countries citing papers authored by G Riess

Since Specialization

Citations

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

Fields of papers citing papers by G Riess

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G Riess

This figure shows the co-authorship network connecting the top 25 collaborators of G Riess. A scholar is included among the top collaborators of G Riess 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 G Riess. G Riess 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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