Nishant Thakur

496 total citations
19 papers, 314 citations indexed

About

Nishant Thakur is a scholar working on Oncology, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Nishant Thakur has authored 19 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 7 papers in Artificial Intelligence and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Nishant Thakur's work include Radiomics and Machine Learning in Medical Imaging (6 papers), AI in cancer detection (6 papers) and Colorectal Cancer Screening and Detection (3 papers). Nishant Thakur is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (6 papers), AI in cancer detection (6 papers) and Colorectal Cancer Screening and Detection (3 papers). Nishant Thakur collaborates with scholars based in South Korea, Sudan and United States. Nishant Thakur's co-authors include Yosep Chong, Jamshid Abdul‐Ghafar, Hong‐Jun Yoon, Kwangil Yim, Rizwan Alam, Chan Kwon Jung, Nisha Kumari, Seung Hong Choi, Hye Rim Cho and Eunjung Lee and has published in prestigious journals such as Scientific Reports, BMC Cancer and Cancers.

In The Last Decade

Nishant Thakur

19 papers receiving 304 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nishant Thakur South Korea 11 146 137 92 41 36 19 314
Ayesha Azam United Kingdom 4 144 1.0× 118 0.9× 86 0.9× 31 0.8× 20 0.6× 7 236
Saba Shafi United States 10 123 0.8× 126 0.9× 135 1.5× 60 1.5× 50 1.4× 42 387
Emmanuel Agosto‐Arroyo United States 5 207 1.4× 148 1.1× 81 0.9× 44 1.1× 39 1.1× 11 327
Tanja Jutzi Germany 6 121 0.8× 123 0.9× 166 1.8× 32 0.8× 57 1.6× 9 360
Birgid Schömig‐Markiefka Germany 7 84 0.6× 87 0.6× 66 0.7× 30 0.7× 22 0.6× 17 226
Jim Diamond United Kingdom 7 162 1.1× 103 0.8× 66 0.7× 32 0.8× 21 0.6× 9 292
Peter Truszkowski United States 2 211 1.4× 187 1.4× 60 0.7× 45 1.1× 50 1.4× 2 341
Chiara Maria Lavinia Loeffler Germany 8 108 0.7× 112 0.8× 73 0.8× 43 1.0× 33 0.9× 12 240
Eric F. Glassy United States 9 164 1.1× 103 0.8× 48 0.5× 33 0.8× 45 1.3× 21 358
Patricia Raciti United States 6 204 1.4× 157 1.1× 53 0.6× 21 0.5× 96 2.7× 10 299

Countries citing papers authored by Nishant Thakur

Since Specialization
Citations

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

Fields of papers citing papers by Nishant Thakur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nishant Thakur

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

All Works

19 of 19 papers shown
1.
Thakur, Nishant, et al.. (2022). Tumor Budding as a Marker for Poor Prognosis and Epithelial–Mesenchymal Transition in Lung Cancer: A Systematic Review and Meta-Analysis. Frontiers in Oncology. 12. 828999–828999. 10 indexed citations
2.
Thakur, Nishant, Rizwan Alam, Jamshid Abdul‐Ghafar, & Yosep Chong. (2022). Recent Application of Artificial Intelligence in Non-Gynecological Cancer Cytopathology: A Systematic Review. Cancers. 14(14). 3529–3529. 42 indexed citations
3.
Alam, Rizwan, Jamshid Abdul‐Ghafar, Kwangil Yim, et al.. (2022). Recent Applications of Artificial Intelligence from Histopathologic Image-Based Prediction of Microsatellite Instability in Solid Cancers: A Systematic Review. Cancers. 14(11). 2590–2590. 28 indexed citations
4.
Thakur, Nishant, et al.. (2022). Current Trend of Artificial Intelligence Patents in Digital Pathology: A Systematic Evaluation of the Patent Landscape. Cancers. 14(10). 2400–2400. 29 indexed citations
6.
Chong, Yosep, Nishant Thakur, Myung-Jin Choi, et al.. (2021). Diagnosis prediction of tumours of unknown origin using ImmunoGenius, a machine learning-based expert system for immunohistochemistry profile interpretation. Diagnostic Pathology. 16(1). 19–19. 9 indexed citations
7.
Thakur, Nishant, et al.. (2021). Deep learning-based histopathological segmentation for whole slide images of colorectal cancer in a compressed domain. Scientific Reports. 11(1). 22520–22520. 32 indexed citations
9.
Thakur, Nishant, Kwangil Yim, Jamshid Abdul‐Ghafar, Kyung Jin Seo, & Yosep Chong. (2021). High Poly(ADP-Ribose) Polymerase Expression Does Relate to Poor Survival in Solid Cancers: A Systematic Review and Meta-Analysis. Cancers. 13(22). 5594–5594. 6 indexed citations
10.
Chong, Yosep, Uiju Cho, Min‐Sun Jin, et al.. (2021). Comparison of Ki-67 Labeling Index Patterns of Diffuse Large B-Cell Lymphomas and Burkitt Lymphomas Using Image Analysis: A Multicenter Study. Diagnostics. 11(2). 343–343. 2 indexed citations
12.
Chong, Yosep, Yejin Kim, Hwanjo Yu, et al.. (2020). A machine-learning expert-supporting system for diagnosis prediction of lymphoid neoplasms using a probabilistic decision-tree algorithm and immunohistochemistry profile database. Journal of Pathology and Translational Medicine. 54(6). 462–470. 10 indexed citations
13.
Thakur, Nishant, Hong‐Jun Yoon, & Yosep Chong. (2020). Current Trends of Artificial Intelligence for Colorectal Cancer Pathology Image Analysis: A Systematic Review. Cancers. 12(7). 1884–1884. 58 indexed citations
16.
Kumari, Nisha, Nishant Thakur, Hye Rim Cho, & Seung Hong Choi. (2019). Assessment of Early Therapeutic Response to Nitroxoline in Temozolomide-Resistant Glioblastoma by Amide Proton Transfer Imaging: A Preliminary Comparative Study with Diffusion-weighted Imaging. Scientific Reports. 9(1). 5585–5585. 15 indexed citations
17.
Cho, Hye Rim, Nisha Kumari, Nishant Thakur, et al.. (2019). Decreased APE-1 by Nitroxoline Enhances Therapeutic Effect in a Temozolomide-resistant Glioblastoma: Correlation with Diffusion Weighted Imaging. Scientific Reports. 9(1). 16613–16613. 10 indexed citations
18.
Jeon, Hyejin, Hye Rim Cho, Chul‐Kee Park, et al.. (2017). NIMG-65. CD49d CORRELATED WITH APPARENT DIFFUSION COEFFICIENT AS A PROMISING BIOMARKER FOR PROGNOSIS PREDICTION OF GLIOBLASTOMA: RADIOGENOMICS STUDY. Neuro-Oncology. 19(suppl_6). vi157–vi157. 1 indexed citations
19.
Thakur, Nishant, et al.. (2016). Sentiment Analysis using Opinion Mining. International Journal of Engineering Research and. V5(4). 5 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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