Aditi Sahu

1.2k total citations
39 papers, 888 citations indexed

About

Aditi Sahu is a scholar working on Biophysics, Molecular Biology and Oncology. According to data from OpenAlex, Aditi Sahu has authored 39 papers receiving a total of 888 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Biophysics, 12 papers in Molecular Biology and 12 papers in Oncology. Recurrent topics in Aditi Sahu's work include Spectroscopy Techniques in Biomedical and Chemical Research (20 papers), Spectroscopy and Chemometric Analyses (11 papers) and Nonmelanoma Skin Cancer Studies (11 papers). Aditi Sahu is often cited by papers focused on Spectroscopy Techniques in Biomedical and Chemical Research (20 papers), Spectroscopy and Chemometric Analyses (11 papers) and Nonmelanoma Skin Cancer Studies (11 papers). Aditi Sahu collaborates with scholars based in India, United States and Chile. Aditi Sahu's co-authors include C. Murali Krishna, Sharada Sawant, Pankaj Chaturvedi, Atul Deshmukh, Surya Pratap Singh, Miguel Córdova, Sudhir Nair, Cristián Navarrete‐Dechent, Sanjeeva Srivastava and Milind Rajadhyaksha and has published in prestigious journals such as PLoS ONE, Analytical Chemistry and Scientific Reports.

In The Last Decade

Aditi Sahu

37 papers receiving 878 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aditi Sahu India 19 600 389 320 163 155 39 888
Lakshmi Rao India 14 426 0.7× 324 0.8× 277 0.9× 59 0.4× 66 0.4× 49 917
Donal P. Hayes Netherlands 6 252 0.4× 179 0.5× 132 0.4× 62 0.4× 64 0.4× 8 566
Jacob Kurien India 13 747 1.2× 570 1.5× 310 1.0× 20 0.1× 123 0.8× 22 942
Ali Akalin United States 18 188 0.3× 117 0.3× 262 0.8× 192 1.2× 53 0.3× 45 892
Federico Papineschi Italy 15 179 0.3× 109 0.3× 137 0.4× 38 0.2× 26 0.2× 47 681
Sung K. Chang United States 16 200 0.3× 51 0.1× 80 0.3× 118 0.7× 464 3.0× 31 892
Renata de Azevedo Canevari Brazil 13 178 0.3× 121 0.3× 178 0.6× 27 0.2× 104 0.7× 37 506
Linfang Li China 18 156 0.3× 87 0.2× 366 1.1× 95 0.6× 139 0.9× 40 962
Joachim Röwert‐Huber Germany 15 98 0.2× 32 0.1× 165 0.5× 589 3.6× 120 0.8× 28 985
Christiane Bielecki Germany 8 302 0.5× 184 0.5× 128 0.4× 25 0.2× 86 0.6× 11 456

Countries citing papers authored by Aditi Sahu

Since Specialization
Citations

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

Fields of papers citing papers by Aditi Sahu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aditi Sahu

This figure shows the co-authorship network connecting the top 25 collaborators of Aditi Sahu. A scholar is included among the top collaborators of Aditi Sahu 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 Aditi Sahu. Aditi Sahu 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
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Wenande, Emily, et al.. (2024). Line‐field confocal optical coherence tomography in dermato‐oncology: A literature review towards harmonized histopathology‐integrated terminology. Experimental Dermatology. 33(4). e15057–e15057. 7 indexed citations
4.
Byers, Candice, Melissa Gill, Nicholas R. Kurtansky, et al.. (2022). Tertiary lymphoid structures accompanied by fibrillary matrix morphology impact anti-tumor immunity in basal cell carcinomas. Frontiers in Medicine. 9. 981074–981074. 7 indexed citations
5.
Sahu, Aditi, et al.. (2020). Assessment of laser-induced thermal damage in fresh skin with ex vivo confocal microscopy. Journal of the American Academy of Dermatology. 84(1). e19–e21. 5 indexed citations
6.
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Navarrete‐Dechent, Cristián, Saud Aleissa, Miguel Córdova, et al.. (2020). Management of complex head-and-neck basal cell carcinomas using a combined reflectance confocal microscopy/optical coherence tomography: a descriptive study. Archives of Dermatological Research. 313(3). 193–200. 18 indexed citations
8.
Navarrete‐Dechent, Cristián, Miguel Córdova, Aditi Sahu, et al.. (2020). Optical imaging guided- ‘precision’ biopsy of skin tumors: a novel approach for targeted sampling and histopathologic correlation. Archives of Dermatological Research. 313(7). 517–529. 9 indexed citations
9.
Navarrete‐Dechent, Cristián, Miguel Córdova, Konstantinos Liopyris, et al.. (2019). Reflectance confocal microscopy-guided carbon dioxide laser ablation of low-risk basal cell carcinomas: A prospective study. Journal of the American Academy of Dermatology. 81(4). 984–988. 11 indexed citations
10.
Aleissa, Saud, Cristián Navarrete‐Dechent, Miguel Córdova, et al.. (2019). Presurgical evaluation of basal cell carcinoma using combined reflectance confocal microscopy–optical coherence tomography: A prospective study. Journal of the American Academy of Dermatology. 82(4). 962–968. 26 indexed citations
11.
Iftimia, Nicusor, Oriol Yélamos, Gopi Maguluri, et al.. (2017). Handheld optical coherence tomography–reflectance confocal microscopy probe for detection of basal cell carcinoma and delineation of margins. Journal of Biomedical Optics. 22(7). 76006–76006. 42 indexed citations
12.
Sahu, Aditi, et al.. (2017). Raman exfoliative cytology for oral precancer diagnosis. Journal of Biomedical Optics. 22(11). 1–1. 22 indexed citations
13.
Sahu, Aditi & C. Murali Krishna. (2017). Optical diagnostics in oral cancer: An update on Raman spectroscopic applications. Journal of Cancer Research and Therapeutics. 13(6). 908–915. 14 indexed citations
14.
Kaur, Ekjot, Aditi Sahu, Arti Hole, et al.. (2016). Unique spectral markers discern recurrent Glioblastoma cells from heterogeneous parent population. Scientific Reports. 6(1). 26538–26538. 23 indexed citations
15.
Sahu, Aditi, Amandeep Singh, Sharada Sawant, et al.. (2015). Oral cancer screening: serum Raman spectroscopic approach. Journal of Biomedical Optics. 20(11). 115006–115006. 28 indexed citations
16.
Sahu, Aditi, et al.. (2015). Raman spectroscopy of serum: A study on oral cancers. 4(2). 171–187. 12 indexed citations
17.
Braybrooke, Jeremy, Thompson Robinson, Charles Comins, et al.. (2013). A prospective multi-centre study of the impact of Oncotype DX (R) on adjuvant treatment decisions in patients in the UK with estrogen receptor positive early breast cancer. European Journal of Cancer. 49. 1 indexed citations
18.
Sahu, Aditi, et al.. (2013). Raman spectroscopy of serum: an exploratory study for detection of oral cancers. The Analyst. 138(14). 4161–4161. 108 indexed citations
19.
Singh, Surya Pratap, Aditi Sahu, Atul Deshmukh, Pankaj Chaturvedi, & C. Murali Krishna. (2013). In vivo Raman spectroscopy of oral buccal mucosa: a study on malignancy associated changes (MAC)/cancer field effects (CFE). The Analyst. 138(14). 4175–4175. 76 indexed citations
20.
Sahu, Aditi, et al.. (2013). Serum Based Diagnosis of Asthma Using Raman Spectroscopy: An Early Phase Pilot Study. PLoS ONE. 8(11). e78921–e78921. 54 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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