Renuka Sriram

1.9k total citations
56 papers, 1.3k citations indexed

About

Renuka Sriram is a scholar working on Spectroscopy, Radiology, Nuclear Medicine and Imaging and Materials Chemistry. According to data from OpenAlex, Renuka Sriram has authored 56 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Spectroscopy, 30 papers in Radiology, Nuclear Medicine and Imaging and 15 papers in Materials Chemistry. Recurrent topics in Renuka Sriram's work include Advanced NMR Techniques and Applications (32 papers), Advanced MRI Techniques and Applications (22 papers) and Atomic and Subatomic Physics Research (8 papers). Renuka Sriram is often cited by papers focused on Advanced NMR Techniques and Applications (32 papers), Advanced MRI Techniques and Applications (22 papers) and Atomic and Subatomic Physics Research (8 papers). Renuka Sriram collaborates with scholars based in United States, Belgium and France. Renuka Sriram's co-authors include John Kurhanewicz, David M. Wilson, Daniel B. Vigneron, Mark Van Criekinge, Zhen J. Wang, Kayvan R. Keshari, Robert R. Flavell, Thomas Jue, Robert Bok and Peder E. Z. Larson and has published in prestigious journals such as Journal of the American Chemical Society, NeuroImage and Cancer Research.

In The Last Decade

Renuka Sriram

55 papers receiving 1.3k citations

Peers

Renuka Sriram

SPECT

RNMI

BIOPH

Thomas R. Eykyn United Kingdom

Hikari A. I. Yoshihara Switzerland

Kazutoshi Yamamoto United States

Marie Schroeder United Kingdom

Rachel Katz‐Brull Israel

Robert R. Flavell United States

Charles J. Storey United States

Jae Mo Park United States

Rikard Pehrson Sweden

Miquel E. Cabañas Spain

Thomas R. Eykyn United Kingdom

Renuka Sriram

435 ×0.7

SPECT

575 ×1.2

RNMI

682 ×2.3

232 ×1.1

178 ×0.9

BIOPH

Citations per year, relative to Renuka Sriram Renuka Sriram (= 1×) peers Thomas R. Eykyn

Countries citing papers authored by Renuka Sriram

Since Specialization

Citations

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

Fields of papers citing papers by Renuka Sriram

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Renuka Sriram

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

All Works

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20 of 20 papers shown

Yeste, José, María Alejandra Ortega, Yaewon Kim, et al.. (2023). Parallel detection of chemical reactions in a microfluidic platform using hyperpolarized nuclear magnetic resonance. Lab on a Chip. 23(23). 4950–4958. 2 indexed citations

Mu, Changhua, Yaewon Kim, David E. Korenchan, et al.. (2023). Clinically Translatable Hyperpolarized ¹³C Bicarbonate pH Imaging Method for Use in Prostate Cancer. ACS Sensors. 8(11). 4042–4054. 9 indexed citations

Malyarenko, Dariya, Stephen Pickup, Rong Zhou, et al.. (2023). Evaluation of Apparent Diffusion Coefficient Repeatability and Reproducibility for Preclinical MRIs Using Standardized Procedures and a Diffusion-Weighted Imaging Phantom. Tomography. 9(1). 375–386. 4 indexed citations

Ji, Xiao, Shubhangi Agarwal, Jeremy W. Gordon, et al.. (2023). Metabolite-Specific Echo Planar Imaging for Preclinical Studies with Hyperpolarized 13C-Pyruvate MRI. Tomography. 9(2). 736–749. 3 indexed citations

Agarwal, Shubhangi, Yung-Hua Wang, Hecong Qin, et al.. (2022). Defining the Magnetic Resonance Features of Renal Lesions and Their Response to Everolimus in a Transgenic Mouse Model of Tuberous Sclerosis Complex. Frontiers in Oncology. 12. 851192–851192.

Qin, Hecong, Shuyu Tang, Robert Bok, et al.. (2021). Clinical translation of hyperpolarized¹³C pyruvate and urea MRI for simultaneous metabolic and perfusion imaging. Magnetic Resonance in Medicine. 87(1). 138–149. 29 indexed citations

Qin, Hecong, Robert R. Flavell, Jeremy W. Gordon, et al.. (2021). Deuterium Metabolic Imaging—Rediscovery of a Spectroscopic Tool. Metabolites. 11(9). 570–570. 21 indexed citations

Parker, Matthew F.L., Justin Luu, Tony L. Huynh, et al.. (2020). Sensing Living Bacteria in Vivo Using d-Alanine-Derived ¹¹C Radiotracers. ACS Central Science. 6(2). 155–165. 53 indexed citations

Mutch, Christopher A., Alvaro A. Ordoñez, Hecong Qin, et al.. (2018). [¹¹C]Para-Aminobenzoic Acid: A Positron Emission Tomography Tracer Targeting Bacteria-Specific Metabolism. ACS Infectious Diseases. 4(7). 1067–1072. 56 indexed citations

10.

Qin, Hecong, Renuka Sriram, Javier Villanueva-Meyer, et al.. (2018). Imaging glutathione depletion in the rat brain using ascorbate-derived hyperpolarized MR and PET probes. Scientific Reports. 8(1). 7928–7928. 18 indexed citations

11.

Sriram, Renuka, et al.. (2018). Molecular detection of inflammation in cell models using hyperpolarized ¹³C-pyruvate. Theranostics. 8(12). 3400–3407. 18 indexed citations

12.

Chen, Hsin‐Yu, Peder E. Z. Larson, Robert Bok, et al.. (2017). Assessing Prostate Cancer Aggressiveness with Hyperpolarized Dual-Agent 3D Dynamic Imaging of Metabolism and Perfusion. Cancer Research. 77(12). 3207–3216. 60 indexed citations

13.

Neumann, Kiel D., Javier Villanueva-Meyer, Christopher A. Mutch, et al.. (2017). Imaging Active Infection in vivo Using D-Amino Acid Derived PET Radiotracers. Scientific Reports. 7(1). 7903–7903. 58 indexed citations

14.

Jue, Thomas, Traver J. Wright, Youngran Chung, et al.. (2016). Effect of fatty acid interaction on myoglobin oxygen affinity and triglyceride metabolism. Journal of Physiology and Biochemistry. 73(3). 359–370. 17 indexed citations

15.

Sriram, Renuka, Mark Van Criekinge, Kayvan R. Keshari, et al.. (2016). Non-Invasive Differentiation of Benign Renal Tumors from Clear Cell Renal Cell Carcinomas Using Clinically Translatable Hyperpolarized 13C Pyruvate Magnetic Resonance. Tomography. 2(1). 35–42. 21 indexed citations

16.

Koelsch, Bertram L., Renuka Sriram, Kayvan R. Keshari, et al.. (2016). Separation of extra- and intracellular metabolites using hyperpolarized 13C diffusion weighted MR. Journal of Magnetic Resonance. 270. 115–123. 18 indexed citations

17.

Chung, Youngran, et al.. (2015). Interaction of myoglobin with oleic acid. Chemistry and Physics of Lipids. 191. 115–122. 17 indexed citations

18.

Swisher, Christine Leon, Bertram L. Koelsch, Renuka Sriram, et al.. (2015). Dynamic UltraFast 2D EXchange SpectroscopY (UF-EXSY) of hyperpolarized substrates. Journal of Magnetic Resonance. 257. 102–109. 9 indexed citations

19.

Keshari, Kayvan R., Renuka Sriram, Bertram L. Koelsch, et al.. (2012). Hyperpolarized 13C-Pyruvate Magnetic Resonance Reveals Rapid Lactate Export in Metastatic Renal Cell Carcinomas. Cancer Research. 73(2). 529–538. 82 indexed citations

20.

Masuda, K., Ping‐Chang Lin, Ulrike Kreutzer, et al.. (2008). Determination of myoglobin concentration in blood-perfused tissue. European Journal of Applied Physiology. 104(1). 41–48. 27 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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