Nirmala Ramanujam

11.3k total citations · 1 hit paper
215 papers, 8.2k citations indexed

About

Nirmala Ramanujam is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Nirmala Ramanujam has authored 215 papers receiving a total of 8.2k indexed citations (citations by other indexed papers that have themselves been cited), including 123 papers in Radiology, Nuclear Medicine and Imaging, 108 papers in Biomedical Engineering and 43 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Nirmala Ramanujam's work include Optical Imaging and Spectroscopy Techniques (104 papers), Photoacoustic and Ultrasonic Imaging (79 papers) and Cervical Cancer and HPV Research (29 papers). Nirmala Ramanujam is often cited by papers focused on Optical Imaging and Spectroscopy Techniques (104 papers), Photoacoustic and Ultrasonic Imaging (79 papers) and Cervical Cancer and HPV Research (29 papers). Nirmala Ramanujam collaborates with scholars based in United States, India and Tanzania. Nirmala Ramanujam's co-authors include Gregory M. Palmer, Rebecca Richards‐Kortum, Melissa C. Skala, Kevin W. Eliceiri, Mote Mitchell, Annette Gendron‐Fitzpatrick, Jens C. Eickhoff, Quan Liu, Changfang Zhu and Kristin M. Riching and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Nirmala Ramanujam

207 papers receiving 8.0k citations

Hit Papers

In vivo multiphoton microscopy of NADH and FAD redox stat... 2007 2026 2013 2019 2007 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
Nirmala Ramanujam United States 49 4.0k 3.6k 3.0k 1.5k 1.5k 215 8.2k
Henricus J. C. M. Sterenborg Netherlands 49 5.0k 1.3× 4.2k 1.2× 1.8k 0.6× 2.8k 1.8× 696 0.5× 260 9.0k
Bruce J. Tromberg United States 56 6.7k 1.7× 4.6k 1.3× 3.0k 1.0× 1.1k 0.7× 1.1k 0.8× 216 10.9k
Bruce J. Tromberg United States 50 5.9k 1.5× 5.0k 1.4× 1.4k 0.5× 1.3k 0.9× 816 0.6× 196 9.1k
Stefan Andersson‐Engels Sweden 52 5.5k 1.4× 3.8k 1.0× 1.4k 0.5× 2.5k 1.6× 479 0.3× 375 9.0k
Eva M. Sevick‐Muraca United States 55 6.5k 1.6× 4.7k 1.3× 1.2k 0.4× 1.7k 1.1× 2.1k 1.4× 292 12.2k
Haishan Zeng Canada 47 2.7k 0.7× 1.2k 0.3× 5.4k 1.8× 845 0.6× 2.0k 1.4× 274 8.9k
Calum MacAulay Canada 50 2.0k 0.5× 1.4k 0.4× 951 0.3× 2.7k 1.8× 3.1k 2.1× 315 9.6k
Thomas H. Foster United States 48 6.8k 1.7× 2.3k 0.6× 673 0.2× 6.1k 4.0× 1.9k 1.3× 163 11.7k
Frédéric Leblond Canada 32 2.4k 0.6× 1.5k 0.4× 1.5k 0.5× 665 0.4× 530 0.4× 141 4.1k
James P. Freyer United States 37 2.2k 0.5× 1.3k 0.4× 1.2k 0.4× 368 0.2× 1.4k 1.0× 82 5.4k

Countries citing papers authored by Nirmala Ramanujam

Since Specialization
Citations

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

Fields of papers citing papers by Nirmala Ramanujam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nirmala Ramanujam

This figure shows the co-authorship network connecting the top 25 collaborators of Nirmala Ramanujam. A scholar is included among the top collaborators of Nirmala Ramanujam 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 Nirmala Ramanujam. Nirmala Ramanujam 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.
Huchko, Megan J., et al.. (2024). Automated image clarity detection for the improvement of colposcopy imaging with multiple devices. Biomedical Signal Processing and Control. 100(Pt B). 106948–106948.
3.
Ilkayeva, Olga, Jeffrey I. Everitt, James V. Alvarez, et al.. (2024). Optical imaging reveals chemotherapy-induced metabolic reprogramming of residual disease and recurrence. Science Advances. 10(14). eadj7540–eadj7540. 5 indexed citations
4.
Ramanujam, Nirmala, et al.. (2023). Community-Centered Design Thinking as a Scalable STEM Learning Intervention. 11(2). 1 indexed citations
5.
6.
Jardim‐Perassi, Bruna V., et al.. (2023). Metabolic Imaging as a Tool to Characterize Chemoresistance and Guide Therapy in Triple-Negative Breast Cancer (TNBC). Molecular Cancer Research. 21(10). 995–1009. 6 indexed citations
7.
Yang, Jeffrey, et al.. (2023). Impact of Injection-Based Delivery Parameters on Local Distribution Volume of Ethyl-Cellulose Ethanol Gel in Tissue and Tissue Mimicking Phantoms. IEEE Transactions on Biomedical Engineering. 71(5). 1488–1498. 3 indexed citations
9.
Sai, Kiran Kumar Solingapuram, Xiaofei Chen, Zhe Li, et al.. (2021). [18F]Fluoro-DCP, a first generation PET radiotracer for monitoring protein sulfenylation in vivo. Redox Biology. 49. 102218–102218. 5 indexed citations
10.
Bowden, Audrey K., et al.. (2020). Optical Technologies for Improving Healthcare in Low-Resource Settings: introduction to the feature issue. Biomedical Optics Express. 11(6). 3091–3091. 3 indexed citations
11.
Fox, Douglas B., et al.. (2019). Optical Imaging of Glucose Uptake and Mitochondrial Membrane Potential to Characterize Her2 Breast Tumor Metabolic Phenotypes. Molecular Cancer Research. 17(7). 1545–1555. 19 indexed citations
12.
Mueller, Jenna L., Christopher T. Lam, Daniel Álvarez, et al.. (2019). Understanding Factors Governing Distribution Volume of Ethyl Cellulose-Ethanol to Optimize Ablative Therapy in the Liver. IEEE Transactions on Biomedical Engineering. 67(8). 2337–2348. 25 indexed citations
13.
Zhu, Caigang, et al.. (2018). Simultaneous in vivo optical quantification of key metabolic and vascular endpoints reveals tumor metabolic diversity in murine breast tumor models. Journal of Biophotonics. 12(4). e201800372–e201800372. 14 indexed citations
14.
Everitt, Jeffrey I., et al.. (2017). Distinct Angiogenic Changes during Carcinogenesis Defined by Novel Label-Free Dark-Field Imaging in a Hamster Cheek Pouch Model. Cancer Research. 77(24). 7109–7119. 6 indexed citations
15.
Vishwanath, Karthik, Joseph K. Salama, Alaattin Erkanli, et al.. (2016). Oxygen and Perfusion Kinetics in Response to Fractionated Radiation Therapy in FaDu Head and Neck Cancer Xenografts Are Related to Treatment Outcome. International Journal of Radiation Oncology*Biology*Physics. 96(2). 462–469. 26 indexed citations
16.
17.
Vishwanath, Karthik, et al.. (2010). Rapid ratiometric determination of hemoglobin concentration using UV-VIS diffuse reflectance at isosbestic wavelengths. Optics Express. 18(18). 18779–18779. 19 indexed citations
18.
Palmer, Gregory M., et al.. (2009). Quantitative diffuse reflectance and fluorescence spectroscopy: tool to monitor tumor physiology in vivo. Journal of Biomedical Optics. 14(2). 24010–24010. 38 indexed citations
19.
Brown, J. Quincy, Lee G. Wilke, Joseph Geradts, et al.. (2009). Quantitative Optical Spectroscopy: A Robust Tool for Direct Measurement of Breast Cancer Vascular Oxygenation and Total Hemoglobin Content In vivo. Cancer Research. 69(7). 2919–2926. 91 indexed citations
20.
Tumer, Kagan, Nirmala Ramanujam, Rebecca Richards‐Kortum, & Joydeep Ghosh. (1996). Spectroscopic Detection of Cervical Pre-Cancer through Radial Basis Function Networks. Neural Information Processing Systems. 981–987. 5 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