Shikhar Uttam

1.3k total citations
32 papers, 697 citations indexed

About

Shikhar Uttam is a scholar working on Atomic and Molecular Physics, and Optics, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, Shikhar Uttam has authored 32 papers receiving a total of 697 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Atomic and Molecular Physics, and Optics, 11 papers in Biomedical Engineering and 9 papers in Molecular Biology. Recurrent topics in Shikhar Uttam's work include Digital Holography and Microscopy (12 papers), Optical Coherence Tomography Applications (7 papers) and Advanced Fluorescence Microscopy Techniques (6 papers). Shikhar Uttam is often cited by papers focused on Digital Holography and Microscopy (12 papers), Optical Coherence Tomography Applications (7 papers) and Advanced Fluorescence Microscopy Techniques (6 papers). Shikhar Uttam collaborates with scholars based in United States, Ireland and China. Shikhar Uttam's co-authors include Yang Liu, Elise Fouquerel, Simon C. Watkins, Marcel P. Bruchez, Ryan Barnes, Patricia L. Opresko, Nathan A. Goodman, Rajan K. Bista, Jingyi Jin and Rao Fu and has published in prestigious journals such as Nature Communications, Applied Physics Letters and Molecular Cell.

In The Last Decade

Shikhar Uttam

31 papers receiving 685 citations

Peers

Shikhar Uttam
Olivier Coquoz Switzerland
Chenfei Hu United States
WM Star Netherlands
Minhyeok Kim South Korea
Stefan Wörz Germany
Olivier Coquoz Switzerland
Shikhar Uttam
Citations per year, relative to Shikhar Uttam Shikhar Uttam (= 1×) peers Olivier Coquoz

Countries citing papers authored by Shikhar Uttam

Since Specialization
Citations

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

Fields of papers citing papers by Shikhar Uttam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shikhar Uttam

This figure shows the co-authorship network connecting the top 25 collaborators of Shikhar Uttam. A scholar is included among the top collaborators of Shikhar Uttam 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 Shikhar Uttam. Shikhar Uttam 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.
Liu, Yang & Shikhar Uttam. (2024). Perspective on quantitative phase imaging to improve precision cancer medicine. Journal of Biomedical Optics. 29(S2). S22705–S22705. 10 indexed citations
2.
Hedglin, Mark, et al.. (2024). PARP2 promotes Break Induced Replication-mediated telomere fragility in response to replication stress. Nature Communications. 15(1). 2857–2857. 12 indexed citations
3.
Bell, Phoenix, Brian J. Leibowitz, Karen Schoedel, et al.. (2024). UNSEG: unsupervised segmentation of cells and their nuclei in complex tissue samples. Communications Biology. 7(1). 1062–1062. 1 indexed citations
4.
Brand, Rhonda M., Beth Dudley, E. Jeffrey Metter, et al.. (2023). Immune microenvironment profiling of normal appearing colorectal mucosa biopsied over repeat patient visits reproducibly separates lynch syndrome patients based on their history of colon cancer. Frontiers in Oncology. 13. 1174831–1174831. 1 indexed citations
5.
Brand, Rhonda M., et al.. (2023). rxCOV is a quantitative metric for assessing immunoassay analyte fidelity. Scientific Reports. 13(1). 88–88. 1 indexed citations
6.
Thota, Prashanthi N., Madhusudhan R. Sanaka, Amitabh Chak, et al.. (2022). Prediction of neoplastic progression in Barrett’s esophagus using nanoscale nuclear architecture mapping: a pilot study. Gastrointestinal Endoscopy. 95(6). 1239–1246. 1 indexed citations
7.
Uttam, Shikhar, Andrew M. Stern, Christopher J. Sevinsky, et al.. (2020). Spatial domain analysis predicts risk of colorectal cancer recurrence and infers associated tumor microenvironment networks. Nature Communications. 11(1). 3515–3515. 21 indexed citations
8.
Uttam, Shikhar, Jana G. Hashash, David G. Binion, et al.. (2019). Three-Dimensional Nanoscale Nuclear Architecture Mapping of Rectal Biopsies Detects Colorectal Neoplasia in Patients with Inflammatory Bowel Disease. Cancer Prevention Research. 12(8). 527–538. 9 indexed citations
9.
Fouquerel, Elise, Ryan Barnes, Shikhar Uttam, et al.. (2019). Targeted and Persistent 8-Oxoguanine Base Damage at Telomeres Promotes Telomere Loss and Crisis. Molecular Cell. 75(1). 117–130.e6. 208 indexed citations
10.
Xu, Jianquan, Hongqiang Ma, Jingyi Jin, et al.. (2018). Super-Resolution Imaging of Higher-Order Chromatin Structures at Different Epigenomic States in Single Mammalian Cells. Cell Reports. 24(4). 873–882. 125 indexed citations
11.
Uttam, Shikhar & Yang Liu. (2017). Fourier phase based depth-resolved nanoscale nuclear architecture mapping for cancer detection. Methods. 136. 134–151. 8 indexed citations
12.
Uttam, Shikhar, Hoa V. Pham, Brian J. Leibowitz, et al.. (2015). Early Prediction of Cancer Progression by Depth-Resolved Nanoscale Mapping of Nuclear Architecture from Unstained Tissue Specimens. Cancer Research. 75(22). 4718–4727. 43 indexed citations
13.
Liu, Yang, Shikhar Uttam, Sergey Alexandrov, & Rajan K. Bista. (2014). Investigation of nanoscale structural alterations of cell nucleus as an early sign of cancer. PubMed. 7(1). 1–1. 15 indexed citations
14.
Fasanella, Kenneth, Rajan K. Bista, Kevin D. Staton, et al.. (2013). Nuclear Nano-architecture Markers of Gastric Cardia and Upper Squamous Esophagus Detect Esophageal Cancer “Field Effect”. Journal of Cancer. 4(8). 626–634. 3 indexed citations
15.
Uttam, Shikhar, Sergey Alexandrov, Rajan K. Bista, & Yang Liu. (2013). Tomographic imaging via spectral encoding of spatial frequency. Optics Express. 21(6). 7488–7488. 17 indexed citations
16.
Alexandrov, Sergey, Shikhar Uttam, Rajan K. Bista, Chengquan Zhao, & Yang Liu. (2012). Real-time quantitative visualization of 3D structural information. Optics Express. 20(8). 9203–9203. 14 indexed citations
17.
Uttam, Shikhar, Nathan A. Goodman, & Mark A. Neifeld. (2011). Feature-Specific Difference Imaging. IEEE Transactions on Image Processing. 21(2). 638–652. 4 indexed citations
18.
Alexandrov, Sergey, Shikhar Uttam, Rajan K. Bista, & Yang Liu. (2011). Spectral contrast imaging microscopy. Optics Letters. 36(17). 3323–3323. 10 indexed citations
19.
Wang, Pin, Rajan K. Bista, Walid E. Khalbuss, et al.. (2010). Nanoscale nuclear architecture for cancer diagnosis beyond pathology via spatial-domain low-coherence quantitative phase microscopy. Journal of Biomedical Optics. 15(6). 66028–66028. 33 indexed citations
20.
Uttam, Shikhar, Nathan A. Goodman, Mark A. Neifeld, et al.. (2009). Optically multiplexed imaging with superposition space tracking. Optics Express. 17(3). 1691–1691. 19 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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