Chris Rife

514 total citations
7 papers, 270 citations indexed

About

Chris Rife is a scholar working on Molecular Biology, Epidemiology and Molecular Medicine. According to data from OpenAlex, Chris Rife has authored 7 papers receiving a total of 270 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Epidemiology and 2 papers in Molecular Medicine. Recurrent topics in Chris Rife's work include Genomics, phytochemicals, and oxidative stress (2 papers), Glutathione Transferases and Polymorphisms (2 papers) and Antibiotic Resistance in Bacteria (2 papers). Chris Rife is often cited by papers focused on Genomics, phytochemicals, and oxidative stress (2 papers), Glutathione Transferases and Polymorphisms (2 papers) and Antibiotic Resistance in Bacteria (2 papers). Chris Rife collaborates with scholars based in United States. Chris Rife's co-authors include Richard N. Armstrong, Marcia E. Newcomer, James F. Parsons, Gary L. Gilliland, Jane E. Ladner, Joshua Telser, Bryan A. Bernat, Stoyan K. Smoukov, Brian M. Hoffman and Kerry L. Fillgrove and has published in prestigious journals such as Journal of the American Chemical Society, Biochemistry and Proteins Structure Function and Bioinformatics.

In The Last Decade

Chris Rife

7 papers receiving 268 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chris Rife United States 6 165 64 41 31 31 7 270
Sachiko Yoshioka Japan 12 143 0.9× 27 0.4× 23 0.6× 15 0.5× 22 0.7× 31 436
Camil Joubran United States 11 139 0.8× 96 1.5× 13 0.3× 67 2.2× 12 0.4× 15 428
Nalin Abeydeera United States 10 195 1.2× 19 0.3× 9 0.2× 28 0.9× 49 1.6× 18 334
David C. McKinney United States 11 186 1.1× 39 0.6× 22 0.5× 20 0.6× 31 1.0× 15 314
N. J. P. BROOM United States 14 270 1.6× 79 1.2× 26 0.6× 18 0.6× 17 0.5× 23 539
Schara Safarian Germany 10 325 2.0× 29 0.5× 28 0.7× 25 0.8× 37 1.2× 17 443
Inga Pfeffer United Kingdom 9 109 0.7× 147 2.3× 57 1.4× 13 0.4× 20 0.6× 12 279
Sally Demirdjian United States 11 76 0.5× 11 0.2× 12 0.3× 32 1.0× 13 0.4× 17 240
Ha Yeon Cho South Korea 11 248 1.5× 28 0.4× 61 1.5× 10 0.3× 19 0.6× 15 339
Marı́a R. Rintoul Argentina 12 320 1.9× 30 0.5× 12 0.3× 12 0.4× 33 1.1× 16 438

Countries citing papers authored by Chris Rife

Since Specialization
Citations

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

Fields of papers citing papers by Chris Rife

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chris Rife

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

All Works

7 of 7 papers shown
1.
Han, Gye Won, Chris Rife, & M.R. Sawaya. (2009). Applications of Bioinformatics to Protein Structures: How Protein Structure and Bioinformatics Overlap. Methods in molecular biology. 569. 157–172. 1 indexed citations
2.
Rigsby, Rachel E., Chris Rife, Kerry L. Fillgrove, Marcia E. Newcomer, & Richard N. Armstrong. (2004). Phosphonoformate:  A Minimal Transition State Analogue Inhibitor of the Fosfomycin Resistance Protein, FosA,. Biochemistry. 43(43). 13666–13673. 27 indexed citations
3.
Pakhomova, Svetlana, Chris Rife, Richard N. Armstrong, & Marcia E. Newcomer. (2004). Structure of fosfomycin resistance protein FosA from transposon Tn2921. Protein Science. 13(5). 1260–1265. 21 indexed citations
4.
Rife, Chris, James F. Parsons, Gaoyi Xiao, Gary L. Gilliland, & Richard N. Armstrong. (2003). Conserved structural elements in glutathione transferase homologues encoded in the genome of Escherichia coli. Proteins Structure Function and Bioinformatics. 53(4). 777–782. 19 indexed citations
5.
Ladner, Jane E., James F. Parsons, Chris Rife, Gary L. Gilliland, & Richard N. Armstrong. (2003). Parallel Evolutionary Pathways for Glutathione Transferases:  Structure and Mechanism of the Mitochondrial Class Kappa Enzyme rGSTK1-1. Biochemistry. 43(2). 352–361. 101 indexed citations
6.
Rife, Chris, et al.. (2002). Crystal Structure of a Genomically Encoded Fosfomycin Resistance Protein (FosA) at 1.19 Å Resolution by MAD Phasing Off the L-III Edge of Tl+. Journal of the American Chemical Society. 124(37). 11001–11003. 52 indexed citations
7.
Smoukov, Stoyan K., Joshua Telser, Bryan A. Bernat, et al.. (2002). EPR Study of Substrate Binding to the Mn(II) Active Site of the Bacterial Antibiotic Resistance Enzyme FosA:  A Better Way To Examine Mn(II). Journal of the American Chemical Society. 124(10). 2318–2326. 49 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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