Malavika Chandra

482 total citations
16 papers, 289 citations indexed

About

Malavika Chandra is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Biophysics. According to data from OpenAlex, Malavika Chandra has authored 16 papers receiving a total of 289 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Biomedical Engineering and 6 papers in Biophysics. Recurrent topics in Malavika Chandra's work include Optical Imaging and Spectroscopy Techniques (13 papers), Spectroscopy Techniques in Biomedical and Chemical Research (6 papers) and Photoacoustic and Ultrasonic Imaging (4 papers). Malavika Chandra is often cited by papers focused on Optical Imaging and Spectroscopy Techniques (13 papers), Spectroscopy Techniques in Biomedical and Chemical Research (6 papers) and Photoacoustic and Ultrasonic Imaging (4 papers). Malavika Chandra collaborates with scholars based in United States, Brazil and China. Malavika Chandra's co-authors include Mary‐Ann Mycek, James M. Scheiman, Diane M. Simeone, Barbara J. McKenna, Arjun G. Yodh, Robert H. Wilson, David R. Busch, Steven S. Schenkel, Emile R. Mohler and Rickson C. Mesquita and has published in prestigious journals such as Journal of Applied Physiology, Optics Express and Cancers.

In The Last Decade

Malavika Chandra

15 papers receiving 287 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Malavika Chandra United States 9 193 157 75 73 37 16 289
Dilbahar Mohar United States 9 90 0.5× 90 0.6× 7 0.1× 112 1.5× 43 1.2× 20 314
J. A. Spaan Netherlands 10 104 0.5× 58 0.4× 7 0.1× 83 1.1× 34 0.9× 15 309
Kloner Ra United States 5 151 0.8× 53 0.3× 21 0.3× 97 1.3× 10 0.3× 8 391
Melanie A. McWade United States 8 72 0.4× 59 0.4× 17 0.2× 484 6.6× 81 2.2× 18 582
Ellis Sg United States 4 123 0.6× 52 0.3× 15 0.2× 105 1.4× 7 0.2× 9 333
Yanmin Yang China 10 77 0.4× 38 0.2× 7 0.1× 62 0.8× 76 2.1× 51 352
John H. Rousou United States 13 50 0.3× 94 0.6× 7 0.1× 117 1.6× 45 1.2× 28 433
C G Anselone United States 11 263 1.4× 47 0.3× 12 0.2× 50 0.7× 22 0.6× 15 517
Michel Comet France 9 340 1.8× 83 0.5× 4 0.1× 78 1.1× 17 0.5× 21 438
Nancy Carlson United States 6 315 1.6× 105 0.7× 14 0.2× 166 2.3× 15 0.4× 8 599

Countries citing papers authored by Malavika Chandra

Since Specialization
Citations

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

Fields of papers citing papers by Malavika Chandra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Malavika Chandra

This figure shows the co-authorship network connecting the top 25 collaborators of Malavika Chandra. A scholar is included among the top collaborators of Malavika Chandra 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 Malavika Chandra. Malavika Chandra 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.
Ong, Yi Hong, Joann M. Miller, Min Yuan, et al.. (2020). Blood Flow Measurements Enable Optimization of Light Delivery for Personalized Photodynamic Therapy. Cancers. 12(6). 1584–1584. 8 indexed citations
2.
Baker, Wesley B., Zhe Li, Steven S. Schenkel, et al.. (2017). Effects of exercise training on calf muscle oxygen extraction and blood flow in patients with peripheral artery disease. Journal of Applied Physiology. 123(6). 1599–1609. 50 indexed citations
3.
Wilson, Robert H., Malavika Chandra, James M. Scheiman, et al.. (2016). Tissue Classification Using Optical Spectroscopy Accurately Differentiates Cancer and Chronic Pancreatitis. Pancreas. 46(2). 244–251. 8 indexed citations
4.
Baker, Wesley B., David R. Busch, Ashwin B. Parthasarathy, et al.. (2014). Probe Pressure Modulation Algorithm Reduces Extracerebral Contamination in Optical Measurements of Cerebral Blood Flow. BS3A.52–BS3A.52. 3 indexed citations
5.
Mesquita, Rickson C., Steven S. Schenkel, David Minkoff, et al.. (2013). Influence of probe pressure on the diffuse correlation spectroscopy blood flow signal: extra-cerebral contributions. Biomedical Optics Express. 4(7). 978–978. 47 indexed citations
6.
Lee, Seung Yup, William R. Lloyd, Malavika Chandra, et al.. (2013). Characterizing human pancreatic cancer precursor using quantitative tissue optical spectroscopy. Biomedical Optics Express. 4(12). 2828–2828. 26 indexed citations
7.
Lloyd, William R., Robert H. Wilson, Seung Yup Lee, et al.. (2013). In vivo optical spectroscopy for improved detection of pancreatic adenocarcinoma: a feasibility study. Biomedical Optics Express. 5(1). 9–9. 12 indexed citations
8.
Mesquita, Rickson C., Mary Putt, Malavika Chandra, et al.. (2013). Diffuse optical characterization of an exercising patient group with peripheral artery disease. Journal of Biomedical Optics. 18(5). 57007–57007. 31 indexed citations
9.
Wilson, Robert H., Malavika Chandra, William R. Lloyd, et al.. (2010). Photon-tissue interaction model enables quantitative optical analysis of human pancreatic tissues. Optics Express. 18(21). 21612–21612. 12 indexed citations
10.
Wilson, Robert H., Malavika Chandra, James M. Scheiman, et al.. (2009). Optical spectroscopy detects
histological hallmarks of pancreatic cancer. Optics Express. 17(20). 17502–17502. 34 indexed citations
11.
Wilson, Robert H., Malavika Chandra, James M. Scheiman, et al.. (2009). Mathematical modeling of reflectance and intrinsic fluorescence for cancer detection in human pancreatic tissue. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7187. 71870H–71870H.
12.
Chandra, Malavika, James M. Scheiman, David G. Heidt, et al.. (2007). Probing pancreatic disease using tissue optical spectroscopy. Journal of Biomedical Optics. 12(6). 60501–60501. 22 indexed citations
13.
Chandra, Malavika, Robert H. Wilson, Wen‐Liang Lo, et al.. (2007). Sensing metabolic activity in tissue engineered constructs. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6628. 66280B–66280B. 2 indexed citations
14.
Chandra, Malavika, David G. Heidt, Diane M. Simeone, et al.. (2007). Pancreatic tissue assessment using fluorescence and reflectance spectroscopy. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6628. 66281R–66281R. 2 indexed citations
15.
Chandra, Malavika, et al.. (2006). Quantitative molecular sensing in biological tissues: an approach to non-invasive optical characterization. Optics Express. 14(13). 6157–6157. 31 indexed citations
16.
Vishwanath, Karthik, Kenji Izumi, Malavika Chandra, Stephen E. Feinberg, & Mary‐Ann Mycek. (2006). Quantitative, Noninvasive Optical Sensing in Tissue Engineered Oral Mucosal Constructs. Biomedical optics. 32. ME75–ME75. 1 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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