Shachi Mittal

584 total citations
18 papers, 386 citations indexed

About

Shachi Mittal is a scholar working on Biophysics, Analytical Chemistry and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Shachi Mittal has authored 18 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Biophysics, 9 papers in Analytical Chemistry and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Shachi Mittal's work include Spectroscopy Techniques in Biomedical and Chemical Research (10 papers), Spectroscopy and Chemometric Analyses (9 papers) and Thermography and Photoacoustic Techniques (3 papers). Shachi Mittal is often cited by papers focused on Spectroscopy Techniques in Biomedical and Chemical Research (10 papers), Spectroscopy and Chemometric Analyses (9 papers) and Thermography and Photoacoustic Techniques (3 papers). Shachi Mittal collaborates with scholars based in United States, India and United Kingdom. Shachi Mittal's co-authors include Rohit Bhargava, Seth Kenkel, Kevin Yeh, André Kajdacsy-Balla, L. Suzanne Leslie, Martin Schnell, P. Scott Carney, Tomasz P. Wróbel, Andre Kajdacsy‐Balla and Cătălin Stoean and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Shachi Mittal

17 papers receiving 380 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shachi Mittal United States 10 264 124 110 77 63 18 386
Seth Kenkel United States 8 322 1.2× 160 1.3× 122 1.1× 80 1.0× 50 0.8× 11 432
Valery P. Zakharov Russia 14 437 1.7× 267 2.2× 251 2.3× 93 1.2× 174 2.8× 114 736
Frederik Großerueschkamp Germany 10 277 1.0× 135 1.1× 64 0.6× 144 1.9× 106 1.7× 17 440
Mia R. Garrard United States 3 256 1.0× 103 0.8× 132 1.2× 89 1.2× 61 1.0× 3 355
Andrew H. Hill United States 10 243 0.9× 110 0.9× 109 1.0× 49 0.6× 22 0.3× 13 429
L. Suzanne Leslie United States 11 173 0.7× 90 0.7× 108 1.0× 56 0.7× 48 0.8× 13 598
Yulia А. Khristoforova Russia 10 276 1.0× 194 1.6× 101 0.9× 63 0.8× 70 1.1× 48 388
Wubao Wang United States 10 193 0.7× 78 0.6× 140 1.3× 47 0.6× 120 1.9× 25 330
Angela Kallenbach‐Thieltges Germany 9 318 1.2× 168 1.4× 56 0.5× 130 1.7× 97 1.5× 9 417
Zhijie Liu China 9 120 0.5× 58 0.5× 69 0.6× 70 0.9× 37 0.6× 19 295

Countries citing papers authored by Shachi Mittal

Since Specialization
Citations

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

Fields of papers citing papers by Shachi Mittal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shachi Mittal

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

All Works

18 of 18 papers shown
1.
Smythe, Kimberly S., et al.. (2025). Quantitative benchmarking of nuclear segmentation algorithms in multiplexed immunofluorescence imaging for translational studies. Communications Biology. 8(1). 836–836. 1 indexed citations
2.
Ramteke, Manojkumar, et al.. (2024). MADR-Net: multi-level attention dilated residual neural network for segmentation of medical images. Scientific Reports. 14(1). 12699–12699. 2 indexed citations
3.
He, Jiawei, Abraham D. Flaxman, Jeffrey W. Eaton, et al.. (2024). Association Between Early Sexual Debut and New HIV Infections Among Adolescents and Young Adults in 11 African Countries. AIDS and Behavior. 28(7). 2444–2453.
4.
Ramteke, Manojkumar, et al.. (2023). A Domain-Shift Invariant CNN Framework for Cardiac MRI Segmentation Across Unseen Domains. Journal of Digital Imaging. 36(5). 2148–2163. 6 indexed citations
5.
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
6.
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
7.
Mittal, Shachi, et al.. (2021). Breast cancer histopathology using infrared spectroscopic imaging: The impact of instrumental configurations. SHILAP Revista de lepidopterología. 3. 100006–100006. 9 indexed citations
8.
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
9.
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
10.
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
11.
Mittal, Shachi, et al.. (2019). A fully automated, faster noise rejection approach to increasing the analytical capability of chemical imaging for digital histopathology. PLoS ONE. 14(4). e0205219–e0205219. 3 indexed citations
12.
Mittal, Shachi, Cătălin Stoean, Andre Kajdacsy‐Balla, & Rohit Bhargava. (2019). Digital Assessment of Stained Breast Tissue Images for Comprehensive Tumor and Microenvironment Analysis. Frontiers in Bioengineering and Biotechnology. 7. 246–246. 21 indexed citations
13.
Kenkel, Seth, et al.. (2018). Probe–Sample Interaction-Independent Atomic Force Microscopy–Infrared Spectroscopy: Toward Robust Nanoscale Compositional Mapping. Analytical Chemistry. 90(15). 8845–8855. 28 indexed citations
14.
Mittal, Shachi, Kevin Yeh, L. Suzanne Leslie, et al.. (2018). Simultaneous cancer and tumor microenvironment subtyping using confocal infrared microscopy for all-digital molecular histopathology. Proceedings of the National Academy of Sciences. 115(25). E5651–E5660. 106 indexed citations
15.
DeVetter, Brent M., Seth Kenkel, Shachi Mittal, Rohit Bhargava, & Tomasz P. Wróbel. (2016). Characterization of the structure of low-e substrates and consequences for IR transflection measurements. Vibrational Spectroscopy. 91. 119–127. 18 indexed citations
16.
Mittal, Shachi, et al.. (2016). A four class model for digital breast histopathology using high-definition Fourier transform infrared (FT-IR) spectroscopic imaging. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9791. 979118–979118. 12 indexed citations
17.
Ostadhossein, Fatemeh, Santosh K. Misra, Prabuddha Mukherjee, et al.. (2016). Defined Host–Guest Chemistry on Nanocarbon for Sustained Inhibition of Cancer. Small. 12(42). 5845–5861. 24 indexed citations
18.
Mayerich, David, et al.. (2014). Breast histopathology using random decision forests-based classification of infrared spectroscopic imaging data. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9041. 904107–904107. 14 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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