Robert C. Benirschke

626 total citations
18 papers, 501 citations indexed

About

Robert C. Benirschke is a scholar working on Physiology, Statistics, Probability and Uncertainty and Infectious Diseases. According to data from OpenAlex, Robert C. Benirschke has authored 18 papers receiving a total of 501 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Physiology, 4 papers in Statistics, Probability and Uncertainty and 3 papers in Infectious Diseases. Recurrent topics in Robert C. Benirschke's work include Clinical Laboratory Practices and Quality Control (5 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and nanoparticles nucleation surface interactions (3 papers). Robert C. Benirschke is often cited by papers focused on Clinical Laboratory Practices and Quality Control (5 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and nanoparticles nucleation surface interactions (3 papers). Robert C. Benirschke collaborates with scholars based in United States, Spain and Japan. Robert C. Benirschke's co-authors include Gary A. Breaux, Martin F. Jarrold, Brian S. Kinnear, Toshiki Sugai, Colleen M. Neal, Karen L. Kaul, Richard B. Thomson, Georges Mer, Thomas J. Gniadek and Slobodan Macura and has published in prestigious journals such as Journal of the American Chemical Society, Physical Review Letters and The Journal of Chemical Physics.

In The Last Decade

Robert C. Benirschke

17 papers receiving 489 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert C. Benirschke United States 11 231 194 186 76 64 18 501
Paul N. Patrone United States 11 33 0.1× 193 1.0× 62 0.3× 180 2.4× 17 0.3× 45 613
Meher K. Prakash Switzerland 11 14 0.1× 156 0.8× 162 0.9× 279 3.7× 17 0.3× 21 687
Gary M. White United States 8 14 0.1× 70 0.4× 145 0.8× 100 1.3× 33 0.5× 18 716
Y. Nishida Japan 24 32 0.1× 327 1.7× 921 5.0× 58 0.8× 8 0.1× 96 1.8k
A.M. Ronn United States 24 236 1.0× 144 0.7× 636 3.4× 29 0.4× 9 0.1× 66 1.4k
Qi Qin China 11 138 0.6× 23 0.1× 177 1.0× 31 0.4× 3 0.0× 44 798
Tadashi Itoh Japan 22 17 0.1× 373 1.9× 907 4.9× 58 0.8× 15 0.2× 107 1.4k
G. M. Kepler United States 9 6 0.0× 178 0.9× 111 0.6× 27 0.4× 79 1.2× 18 599
R. A. Schumacher United States 15 23 0.1× 17 0.1× 162 0.9× 52 0.7× 9 0.1× 82 758
J. Neukammer Germany 20 10 0.0× 47 0.2× 432 2.3× 112 1.5× 29 0.5× 55 1.1k

Countries citing papers authored by Robert C. Benirschke

Since Specialization
Citations

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

Fields of papers citing papers by Robert C. Benirschke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert C. Benirschke. 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 Robert C. Benirschke. The network helps show where Robert C. Benirschke may publish in the future.

Co-authorship network of co-authors of Robert C. Benirschke

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

All Works

18 of 18 papers shown
1.
Nusbaum, David J., John M. Lee, Robert C. Benirschke, et al.. (2025). Bridging the gap: Evaluating ChatGPT-generated, personalized, patient-centered prostate biopsy reports. American Journal of Clinical Pathology. 163(5). 766–774. 1 indexed citations
2.
Benirschke, Robert C., et al.. (2023). Hook Effect in Semiquantitative SARS-CoV-2 Antispike Total Antibody Assay. American Journal of Clinical Pathology. 160(3). 225–228. 1 indexed citations
3.
Benirschke, Robert C., et al.. (2023). Assessment of a large language model’s utility in helping pathology professionals answer general knowledge pathology questions. American Journal of Clinical Pathology. 161(1). 42–48. 12 indexed citations
4.
Benirschke, Robert C., et al.. (2022). Elevated Lactate Dehydrogenase Concentrations in Plasma Compared to Serum. Laboratory Medicine. 53(5). 479–482. 1 indexed citations
5.
Ikegami, Sachie, Robert C. Benirschke, Hossein Fakhrai-Rad, et al.. (2021). Target specific serologic analysis of COVID-19 convalescent plasma. PLoS ONE. 16(4). e0249938–e0249938. 13 indexed citations
6.
Ikegami, Sachie, et al.. (2020). Persistence of SARS‐CoV‐2 nasopharyngeal swab PCR positivity in COVID‐19 convalescent plasma donors. Transfusion. 60(12). 2962–2968. 19 indexed citations
7.
Benirschke, Robert C. & Thomas J. Gniadek. (2020). Detection of Falsely Elevated Point-of-Care Potassium Results Due to Hemolysis Using Predictive Analytics. American Journal of Clinical Pathology. 154(2). 242–247. 10 indexed citations
8.
Benirschke, Robert C., Erin McElvania, Richard B. Thomson, Karen L. Kaul, & Sanchita Das. (2019). Clinical Impact of Rapid Point-of-Care PCR Influenza Testing in an Urgent Care Setting: a Single-Center Study. Journal of Clinical Microbiology. 57(3). 41 indexed citations
9.
Shanes, Elisheva D., Hong-Kee Lee, Robert C. Benirschke, et al.. (2018). A New Era in Pathology Consultation. Academic Pathology. 5. 1532798948–1532798948. 6 indexed citations
10.
Benirschke, Robert C., et al.. (2018). 73 Capecitabine-Induced Hypertriglyceridemia. American Journal of Clinical Pathology. 149(suppl_1). S201–S202. 1 indexed citations
11.
Benirschke, Robert C., et al.. (2018). 30 Differing Plasma and Serum Lactate Dehydrogenase Concentrations. American Journal of Clinical Pathology. 149(suppl_1). S13–S13.
12.
Benirschke, Robert C., et al.. (2017). Variable Potassium Concentrations: Which Is Right and Which Is Wrong?. Laboratory Medicine. 48(2). 183–187. 4 indexed citations
13.
Kaul, Karen L., Linda M. Sabatini, Gregory J. Tsongalis, et al.. (2017). The Case for Laboratory Developed Procedures. Academic Pathology. 4. 1531708437–1531708437. 21 indexed citations
14.
Benirschke, Robert C., James R. Thompson, Yves Nominé, et al.. (2010). Molecular Basis for the Association of Human E4B U Box Ubiquitin Ligase with E2-Conjugating Enzymes UbcH5c and Ubc4. Structure. 18(8). 955–965. 40 indexed citations
15.
Cui, Gaofeng, Robert C. Benirschke, Nenad Juranić, et al.. (2010). Structural Basis of Ubiquitin Recognition by Translesion Synthesis DNA Polymerase ι. Biochemistry. 49(47). 10198–10207. 27 indexed citations
16.
Breaux, Gary A., Robert C. Benirschke, & Martin F. Jarrold. (2004). Melting, freezing, sublimation, and phase coexistence in sodium chloride nanocrystals. The Journal of Chemical Physics. 121(13). 6502–6507. 27 indexed citations
17.
Breaux, Gary A., et al.. (2004). Gallium Cluster “Magic Melters”. Journal of the American Chemical Society. 126(28). 8628–8629. 87 indexed citations
18.
Breaux, Gary A., Robert C. Benirschke, Toshiki Sugai, Brian S. Kinnear, & Martin F. Jarrold. (2003). Hot and Solid Gallium Clusters: Too Small to Melt. Physical Review Letters. 91(21). 215508–215508. 190 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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