R. Subramaniam

615 total citations
16 papers, 385 citations indexed

About

R. Subramaniam is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, R. Subramaniam has authored 16 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in R. Subramaniam's work include Fractal and DNA sequence analysis (5 papers), Machine Learning in Bioinformatics (4 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). R. Subramaniam is often cited by papers focused on Fractal and DNA sequence analysis (5 papers), Machine Learning in Bioinformatics (4 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). R. Subramaniam collaborates with scholars based in United States, Italy and Canada. R. Subramaniam's co-authors include Douglas S. Katz, Deborah L. Reede, Judith K. Amorosa, Todd Holden, E. Cheung, Regina M. Sullivan, Claudio Schneider, Avi I. Flamholz, Bradley N. Delman and Lawrence Tanenbaum and has published in prestigious journals such as Journal of Vascular Surgery, Radiographics and American Journal of Neuroradiology.

In The Last Decade

R. Subramaniam

14 papers receiving 374 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R. Subramaniam United States 6 113 106 90 83 71 16 385
Hiroyuki Tokue Japan 13 189 1.7× 129 1.2× 39 0.4× 85 1.0× 110 1.5× 60 533
Harry Zinn United States 11 154 1.4× 58 0.5× 22 0.2× 62 0.7× 38 0.5× 45 372
C. Nedelcu France 13 111 1.0× 63 0.6× 31 0.3× 36 0.4× 274 3.9× 34 406
Masako Nagayama Japan 13 233 2.1× 181 1.7× 59 0.7× 60 0.7× 366 5.2× 18 642
Michael B. Mazza United States 8 172 1.5× 139 1.3× 110 1.2× 33 0.4× 20 0.3× 15 379
N. Terrier France 13 264 2.3× 34 0.3× 70 0.8× 50 0.6× 256 3.6× 52 531
Janine Hoffmann Germany 12 119 1.1× 98 0.9× 20 0.2× 61 0.7× 121 1.7× 35 494
Antonio C. Westphalen United States 9 96 0.8× 199 1.9× 38 0.4× 77 0.9× 195 2.7× 30 418
Jeannie K. Kwon United States 10 79 0.7× 36 0.3× 41 0.5× 80 1.0× 65 0.9× 23 272
Katherine R. Birchard United States 9 201 1.8× 114 1.1× 110 1.2× 15 0.2× 148 2.1× 21 418

Countries citing papers authored by R. Subramaniam

Since Specialization
Citations

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

Fields of papers citing papers by R. Subramaniam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Subramaniam

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

All Works

16 of 16 papers shown
1.
Avila, Ricardo S., Karthik Krishnan, Nancy A. Obuchowski, et al.. (2023). Calibration phantom-based prediction of CT lung nodule volume measurement performance. Quantitative Imaging in Medicine and Surgery. 13(9). 6193–6204. 5 indexed citations
2.
Avila, Ricardo S., Sean B. Fain, Samuel G. Armato, et al.. (2021). QIBA guidance: Computed tomography imaging for COVID-19 quantitative imaging applications. Clinical Imaging. 77. 151–157. 6 indexed citations
3.
Subramaniam, R., et al.. (2018). Not all lightweight lead aprons and thyroid shields are alike. Journal of Vascular Surgery. 70(1). 246–250. 13 indexed citations
4.
Avila, Ricardo S., Artit Jirapatnakul, R. Subramaniam, & David F. Yankelevitz. (2017). A new method for predicting CT lung nodule volume measurement performance. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10134. 101343Y–101343Y. 1 indexed citations
5.
Delman, Bradley N., et al.. (2014). Radiation Dose Reduction in CT-Guided Spine Biopsies Does Not Reduce Diagnostic Yield. American Journal of Neuroradiology. 35(12). 2243–2247. 15 indexed citations
6.
Zuckerman, Samantha P., Laurie R. Margolies, Stuart L. Cohen, et al.. (2014). Radiation dose in the 2D and 3D components of digital breast tomosynthesis. 1. 2 indexed citations
7.
Holden, Todd, et al.. (2009). Nucleotide fluctuation of radiation-resistant Halobacterium sp. NRC-1 single-stranded DNA-binding protein (RPA) genes. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7441. 74410R–74410R. 1 indexed citations
8.
Holden, Todd, et al.. (2009). Fractal Analysis of Creutzfeld-Jakob Disease Frontal Horn Brain Magnetic Resonance Image. 1–3. 1 indexed citations
9.
Holden, Todd, et al.. (2008). DNA sequence-based comparative studies between non-extremophile and extremophile organisms with implications in exobiology. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7097. 70970Q–70970Q. 1 indexed citations
10.
Sullivan, Regina M., Todd Holden, E. Cheung, et al.. (2008). Fractal Dimension Of Breast Cancer Cell Migration In A Wound Healing Assay. Zenodo (CERN European Organization for Nuclear Research). 2(8). 186–191. 9 indexed citations
11.
Holden, Todd, et al.. (2008). Nucleotide fluctuation of RecA repair gene in Siberian permafrost Psychrobacter cryohalolentis K5. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7097. 70970U–70970U.
12.
Holden, Todd, et al.. (2008). Fractal Analysis of Filamentous Actin Fluorescent Speckle Microscope Patterns in Cell Migration. 307. 2323–2326. 1 indexed citations
13.
Holden, Todd, et al.. (2008). Fractal Analysis Of 16S Rrna Gene Sequences In Archaea Thermophiles. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
14.
Holden, Todd, et al.. (2008). Marfan Syndrome Exon CpG Percentage and Fractal Dimension. 443. 482–485.
15.
Reede, Deborah L., et al.. (2007). Imaging the Pregnant Patient for Nonobstetric Conditions: Algorithms and Radiation Dose Considerations. Radiographics. 27(6). 1705–1722. 294 indexed citations
16.
Holden, Todd, R. Subramaniam, Regina M. Sullivan, et al.. (2007). ATCG nucleotide fluctuation of Deinococcus radiodurans radiation genes. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6694. 669417–669417. 35 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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