Robert Powers

14.9k total citations · 4 hit papers
263 papers, 10.6k citations indexed

About

Robert Powers is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Robert Powers has authored 263 papers receiving a total of 10.6k indexed citations (citations by other indexed papers that have themselves been cited), including 163 papers in Molecular Biology, 42 papers in Computational Theory and Mathematics and 32 papers in Materials Chemistry. Recurrent topics in Robert Powers's work include Metabolomics and Mass Spectrometry Studies (60 papers), Protein Structure and Dynamics (37 papers) and Enzyme Structure and Function (30 papers). Robert Powers is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (60 papers), Protein Structure and Dynamics (37 papers) and Enzyme Structure and Function (30 papers). Robert Powers collaborates with scholars based in United States, Canada and United Kingdom. Robert Powers's co-authors include Bradley Worley, Angela M. Gronenborn, G. Marius Clore, Daniel S. Garrett, Steven Halouska, G.T. Montelione, Darrell D. Marshall, Yuanpeng J. Huang, Franklin J. Moy and Bo Zhang and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Robert Powers

255 papers receiving 10.4k citations

Hit Papers

Multivariate Analysis in Metabolo... 1991 2026 2002 2014 2012 2016 1991 2016 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert Powers United States 52 7.1k 1.2k 1.0k 762 751 263 10.6k
Yu Chen China 69 10.0k 1.4× 1.1k 1.0× 1.2k 1.2× 816 1.1× 372 0.5× 455 17.6k
Evan Bolton United States 28 7.3k 1.0× 892 0.8× 1.6k 1.6× 468 0.6× 365 0.5× 71 14.6k
Lennart Nilsson Sweden 51 7.4k 1.0× 741 0.6× 1.6k 1.6× 361 0.5× 526 0.7× 213 12.0k
Benjamin A. Shoemaker United States 28 8.3k 1.2× 785 0.7× 2.1k 2.1× 446 0.6× 371 0.5× 38 14.7k
Matthew P. Jacobson United States 63 11.4k 1.6× 1.4k 1.2× 2.3k 2.3× 734 1.0× 681 0.9× 200 17.2k
Luhua Lai China 61 9.3k 1.3× 692 0.6× 2.1k 2.1× 548 0.7× 430 0.6× 352 15.2k
Feng Zhu China 58 8.5k 1.2× 729 0.6× 619 0.6× 1.1k 1.4× 310 0.4× 291 13.3k
Rosemary Braun United States 20 10.1k 1.4× 1.1k 0.9× 2.4k 2.4× 465 0.6× 639 0.9× 46 15.8k
Sunghwan Kim United States 28 6.0k 0.8× 747 0.6× 1.5k 1.4× 426 0.6× 340 0.5× 139 13.2k

Countries citing papers authored by Robert Powers

Since Specialization
Citations

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

Fields of papers citing papers by Robert Powers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert Powers

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

All Works

20 of 20 papers shown
1.
Chatterjee, Arpita, Elizabeth A. Kosmacek, Mei Liu, et al.. (2025). Identification of Potential Prophylactic Medical Countermeasures Against Acute Radiation Syndrome (ARS). International Journal of Molecular Sciences. 26(9). 4055–4055. 1 indexed citations
2.
Schram, A. W., et al.. (2024). A reproducibility crisis for clinical metabolomics studies. TrAC Trends in Analytical Chemistry. 180. 117918–117918. 2 indexed citations
3.
Yang, Qinnan, W.R. Ding, Martha Morton, et al.. (2024). In Vitro Fermentation of Animal and Plant Protein Isolates by the Human Gut Microbiota Under High and Low Carbohydrate Conditions. Molecular Nutrition & Food Research. 68(14). e2300555–e2300555. 1 indexed citations
4.
Powers, Robert, et al.. (2024). Fourier Transform Ion Cyclotron Resonance Mass Spectrometry Applications for Metabolomics. Biomedicines. 12(8). 1786–1786. 7 indexed citations
5.
Powers, Robert. (2024). Public Health and Health Policy in the Caribbean. Project Muse (Johns Hopkins University).
6.
Gouveia, Gonçalo J., Leo L. Cheng, Chaevien Clendinen, et al.. (2024). Perspective: use and reuse of NMR-based metabolomics data: what works and what remains challenging. Metabolomics. 20(2). 41–41. 5 indexed citations
7.
Sharmeen, Sadia, et al.. (2024). Applications of chromatographic methods in metabolomics: A review. Journal of Chromatography B. 1239. 124124–124124. 13 indexed citations
8.
Przygrodzka, Emilia, Robert Powers, Renee M. McFee, et al.. (2024). Metabolic control of luteinizing hormone-responsive ovarian steroidogenesis. Journal of Biological Chemistry. 301(1). 108042–108042. 4 indexed citations
9.
Rachagani, Satyanarayana, Vinothkumar Rajamanickam, Jyoti Kaushal, et al.. (2023). Histidine Enhances the Anticancer Effect of Gemcitabine against Pancreatic Cancer via Disruption of Amino Acid Homeostasis and Oxidant—Antioxidant Balance. Cancers. 15(9). 2593–2593. 8 indexed citations
10.
Lynch, Thomas B., et al.. (2022). Medial Elbow Exposure: Modified Taylor-Scham Versus Flexor Carpi Ulnaris–Split. Journal of Orthopaedic Trauma. 37(2). e63–e67. 4 indexed citations
11.
Wishart, David S., Leo L. Cheng, Valérie Copié, et al.. (2022). NMR and Metabolomics—A Roadmap for the Future. Metabolites. 12(8). 678–678. 101 indexed citations
13.
Bhinderwala, Fatema, McKenzie K. Lehman, Vinai C. Thomas, et al.. (2019). Urease is an essential component of the acid response network of Staphylococcus aureus and is required for a persistent murine kidney infection. PLoS Pathogens. 15(1). e1007538–e1007538. 96 indexed citations
14.
Lei, Shulei, McKenzie K. Lehman, Austin S. Nuxoll, et al.. (2017). Amino Acid Catabolism in Staphylococcus aureus and the Function of Carbon Catabolite Repression. mBio. 8(1). 148 indexed citations
15.
Powers, Robert. (2013). NMR metabolomics and drug discovery. Journal of Computer Science & Systems Biology. 1 indexed citations
16.
Powers, Robert, et al.. (2009). Simultaneous generalizations of the theorems of Ceva and Menelaus for field planes. International Journal of Mathematical Education in Science and Technology. 40(8). 1085–1091.
17.
Huang, Yuanpeng J., Robert Powers, & G.T. Montelione. (2005). Protein NMR Recall, Precision, and F -measure Scores (RPF Scores):  Structure Quality Assessment Measures Based on Information Retrieval Statistics. Journal of the American Chemical Society. 127(6). 1665–1674. 209 indexed citations
18.
Powers, Robert. (2000). CONSENSUS N-TREES AND REMOVAL INDEPENDENCE. Journal of the Korean Mathematical Society. 37(3). 473–490. 3 indexed citations
19.
Wang, Xinhui, Qinwei Zhou, Vera Rebmann, et al.. (2000). Structural Relatedness of Distinct Determinants Recognized by Monoclonal Antibody TP25.99 on β2-Microglobulin-Associated and β2-Microglobulin-Free HLA Class I Heavy Chains. The Journal of Immunology. 165(6). 3275–3283. 43 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026