Rohit Bhargava

10.8k total citations
239 papers, 6.9k citations indexed

About

Rohit Bhargava is a scholar working on Biophysics, Analytical Chemistry and Biomedical Engineering. According to data from OpenAlex, Rohit Bhargava has authored 239 papers receiving a total of 6.9k indexed citations (citations by other indexed papers that have themselves been cited), including 132 papers in Biophysics, 78 papers in Analytical Chemistry and 60 papers in Biomedical Engineering. Recurrent topics in Rohit Bhargava's work include Spectroscopy Techniques in Biomedical and Chemical Research (123 papers), Spectroscopy and Chemometric Analyses (78 papers) and Thermography and Photoacoustic Techniques (20 papers). Rohit Bhargava is often cited by papers focused on Spectroscopy Techniques in Biomedical and Chemical Research (123 papers), Spectroscopy and Chemometric Analyses (78 papers) and Thermography and Photoacoustic Techniques (20 papers). Rohit Bhargava collaborates with scholars based in United States, India and Russia. Rohit Bhargava's co-authors include Ira W. Levin, Stephen M. Hewitt, Michael J. Walsh, Daniel C. Fernandez, Jack L. Koenig, Matthew V. Schulmerich, Rohith Reddy, Kevin Yeh, André Kajdacsy-Balla and Tomasz P. Wróbel and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nature Communications.

In The Last Decade

Rohit Bhargava

228 papers receiving 6.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rohit Bhargava United States 44 3.6k 2.2k 1.9k 1.4k 740 239 6.9k
Eric O. Potma United States 47 3.6k 1.0× 1.4k 0.6× 2.2k 1.2× 1.7k 1.3× 276 0.4× 165 7.8k
Bayden R. Wood Australia 50 4.1k 1.1× 2.4k 1.1× 1.4k 0.7× 2.3k 1.7× 429 0.6× 223 7.8k
Cees Otto Netherlands 40 2.6k 0.7× 1.3k 0.6× 1.6k 0.8× 2.5k 1.8× 204 0.3× 164 6.0k
Nicholas Stone United Kingdom 54 7.6k 2.1× 5.1k 2.3× 2.8k 1.5× 2.7k 2.0× 1.3k 1.7× 309 12.4k
Ishan Barman United States 40 1.7k 0.5× 1.2k 0.5× 1.8k 1.0× 1.4k 1.0× 366 0.5× 169 4.8k
Peter Gardner United Kingdom 47 3.0k 0.8× 2.1k 1.0× 1.0k 0.6× 1.2k 0.9× 508 0.7× 193 6.5k
Max Diem United States 52 4.9k 1.4× 3.4k 1.5× 878 0.5× 2.7k 2.0× 748 1.0× 159 7.8k
Christoph Krafft Germany 52 5.3k 1.5× 3.4k 1.6× 1.8k 1.0× 2.3k 1.7× 681 0.9× 192 7.9k
Thomas Bocklitz Germany 42 3.5k 1.0× 2.2k 1.0× 1.9k 1.0× 1.4k 1.1× 367 0.5× 201 5.9k
Dan Fu United States 36 2.5k 0.7× 1.3k 0.6× 1.2k 0.7× 908 0.7× 188 0.3× 103 4.5k

Countries citing papers authored by Rohit Bhargava

Since Specialization
Citations

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

Fields of papers citing papers by Rohit Bhargava

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rohit Bhargava

This figure shows the co-authorship network connecting the top 25 collaborators of Rohit Bhargava. A scholar is included among the top collaborators of Rohit Bhargava 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 Rohit Bhargava. Rohit Bhargava 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.
Dai, Wenli, Jeffrey L. Fine, Samaneh Motanagh, et al.. (2025). Not All HER2-Positive Breast Cancers Are the Same: Intratumoral Heterogeneity, Low-Level HER2 Amplification, and Their Impact on Neoadjuvant Therapy Response. Modern Pathology. 38(7). 100785–100785. 3 indexed citations
2.
Elishaev, Esther, Rohit Bhargava, Liron Pantanowitz, et al.. (2025). Assessment of the efficacy and accuracy of cervical cytology screening with the Hologic Genius Digital Diagnostics System. Cancer Cytopathology. 133(7). e70022–e70022. 1 indexed citations
3.
4.
Laverty, Daniel J., Surabhi Talele, Brett L. Carlson, et al.. (2024). Aberrant ATM signaling and homology-directed DNA repair as a vulnerability of p53-mutant GBM to AZD1390-mediated radiosensitization. Science Translational Medicine. 16(734). eadj5962–eadj5962. 14 indexed citations
5.
Kindratenko, Volodymyr, et al.. (2024). INSTRAS: INfrared Spectroscopic imaging-based TRAnsformers for medical image Segmentation. SHILAP Revista de lepidopterología. 16. 100549–100549. 5 indexed citations
6.
Yeh, Kevin, Matthew P. Confer, Yen‐Ting Liu, et al.. (2023). Infrared spectroscopic laser scanning confocal microscopy for whole-slide chemical imaging. Nature Communications. 14(1). 5215–5215. 22 indexed citations
7.
Bhargava, Rohit, et al.. (2023). Phasor Representation Approach for Rapid Exploratory Analysis of Large Infrared Spectroscopic Imaging Data Sets. Analytical Chemistry. 95(30). 11365–11374. 2 indexed citations
8.
Banerjee, Siddhartha, et al.. (2023). Intermediate Antiparallel β Structure in Amyloid β Plaques Revealed by Infrared Spectroscopic Imaging. ACS Chemical Neuroscience. 14(20). 3794–3803. 5 indexed citations
9.
Prasanth, Kannanganattu V., et al.. (2022). Cell Phase Identification in a Three-Dimensional Engineered Tumor Model by Infrared Spectroscopic Imaging. Analytical Chemistry. 95(6). 3349–3357. 3 indexed citations
10.
Mittal, Shachi, Jonathan Kim, & Rohit Bhargava. (2022). Statistical Considerations and Tools to Improve Histopathologic Protocols with Spectroscopic Imaging. Applied Spectroscopy. 76(4). 428–438. 1 indexed citations
11.
Yeh, Kevin, et al.. (2021). Deep learning-based protocols to enhance infrared imaging systems. Chemometrics and Intelligent Laboratory Systems. 217. 104390–104390. 17 indexed citations
12.
Bhargava, Rohit, et al.. (2021). Enhancing hyperspectral imaging. Nature Machine Intelligence. 3(4). 279–280. 4 indexed citations
13.
Schnell, Martin, Shachi Mittal, Kevin Yeh, et al.. (2020). All-digital histopathology by infrared-optical hybrid microscopy. Proceedings of the National Academy of Sciences. 117(7). 3388–3396. 82 indexed citations
14.
Kenkel, Seth, Shachi Mittal, & Rohit Bhargava. (2020). Closed-loop atomic force microscopy-infrared spectroscopic imaging for nanoscale molecular characterization. Nature Communications. 11(1). 3225–3225. 33 indexed citations
15.
Mittal, Shachi & Rohit Bhargava. (2019). A comparison of mid-infrared spectral regions on accuracy of tissue classification. The Analyst. 144(8). 2635–2642. 9 indexed citations
16.
Holian, Andrij, Raymond F. Hamilton, Sanghamitra Deb, et al.. (2019). Lung deposition patterns of MWCNT vary with degree of carboxylation. Nanotoxicology. 13(2). 143–159. 6 indexed citations
17.
Singh, Rajveer, et al.. (2018). Bulk Protein and Oil Prediction in Soybeans Using Transmission Raman Spectroscopy: A Comparison of Approaches to Optimize Accuracy. Applied Spectroscopy. 73(6). 687–697. 14 indexed citations
18.
Rasskazov, Ilia L., Nicolás Spegazzini, P. Scott Carney, & Rohit Bhargava. (2017). Dielectric Sphere Clusters as a Model to Understand Infrared Spectroscopic Imaging Data Recorded from Complex Samples. Analytical Chemistry. 89(20). 10813–10818. 18 indexed citations
19.
Kim, Namjung, et al.. (2016). Quantitative Chemical Imaging of Nonplanar Microfluidics. Analytical Chemistry. 89(3). 1716–1723. 13 indexed citations
20.
Kwon, Beomjin, Jing Jiang, Matthew V. Schulmerich, et al.. (2013). Bimaterial microcantilevers with black silicon nanocone arrays. Sensors and Actuators A Physical. 199. 143–148. 11 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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