Pankaj K. Singh

2.0k total citations
29 papers, 445 citations indexed

About

Pankaj K. Singh is a scholar working on Molecular Biology, Genetics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Pankaj K. Singh has authored 29 papers receiving a total of 445 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Genetics and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Pankaj K. Singh's work include Cell Image Analysis Techniques (5 papers), Single-cell and spatial transcriptomics (3 papers) and Image and Signal Denoising Methods (3 papers). Pankaj K. Singh is often cited by papers focused on Cell Image Analysis Techniques (5 papers), Single-cell and spatial transcriptomics (3 papers) and Image and Signal Denoising Methods (3 papers). Pankaj K. Singh collaborates with scholars based in United States, India and France. Pankaj K. Singh's co-authors include Amit Kumar Mishra, Karan Sikka, Bhanu Prasad Venkatesulu, Fabio Stossi, Ramesh Tailor, Jessica L. Symons, Amrish Sharma, Steven H. Lin, R Sadagopan and Shinya Neri and has published in prestigious journals such as Blood, Scientific Reports and IEEE Transactions on Information Theory.

In The Last Decade

Pankaj K. Singh

29 papers receiving 421 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pankaj K. Singh United States 10 95 95 95 75 71 29 445
Haiqing Li China 16 124 1.3× 43 0.5× 81 0.9× 13 0.2× 94 1.3× 46 829
J Ricardo McFaline-Figueroa United States 9 301 3.2× 82 0.9× 56 0.6× 15 0.2× 87 1.2× 24 620
Christian Diehl Germany 13 107 1.1× 121 1.3× 10 0.1× 24 0.3× 123 1.7× 51 557
Jiahan Zhang United States 16 145 1.5× 146 1.5× 34 0.4× 282 3.8× 304 4.3× 63 747
Hongcheng Mai China 10 149 1.6× 22 0.2× 19 0.2× 14 0.2× 62 0.9× 21 359
Xiaotang Yang China 9 66 0.7× 78 0.8× 40 0.4× 5 0.1× 146 2.1× 26 364
Ting Zhuang China 20 800 8.4× 124 1.3× 81 0.9× 39 0.5× 67 0.9× 53 1.2k
Sara Monteiro‐Reis Portugal 15 307 3.2× 80 0.8× 37 0.4× 6 0.1× 53 0.7× 32 601
Shinji Yamamoto Japan 10 41 0.4× 137 1.4× 100 1.1× 13 0.2× 164 2.3× 47 333
Carly A. Bridge United States 8 188 2.0× 57 0.6× 29 0.3× 6 0.1× 230 3.2× 10 881

Countries citing papers authored by Pankaj K. Singh

Since Specialization
Citations

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

Fields of papers citing papers by Pankaj K. Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pankaj K. Singh. 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 Pankaj K. Singh. The network helps show where Pankaj K. Singh may publish in the future.

Co-authorship network of co-authors of Pankaj K. Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Pankaj K. Singh. A scholar is included among the top collaborators of Pankaj K. Singh 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 Pankaj K. Singh. Pankaj K. Singh 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.
Singh, Pankaj K., David D. Fuller, Manuela Corti, et al.. (2024). Neurological glycogen storage diseases and emerging therapeutics. Neurotherapeutics. 21(5). e00446–e00446. 5 indexed citations
2.
Bolt, Michael J., Pankaj K. Singh, Maureen G. Mancini, et al.. (2024). Characterization of flavonoids with potent and subtype-selective actions on estrogen receptors alpha and beta. iScience. 27(3). 109275–109275. 2 indexed citations
3.
Singh, Pankaj K., Isere Kuiatse, Wei Shen Tan, et al.. (2023). Inhibition of Rho-Associated Coiled-Coil Containing Protein Kinases with Belumosudil Mesylate Shows Anti-Tumor and Immune Modulatory Properties in Models of Multiple Myeloma. Blood. 142(Supplement 1). 4689–4689. 1 indexed citations
4.
Stossi, Fabio & Pankaj K. Singh. (2023). Basic Image Analysis and Manipulation in ImageJ/Fiji. Current Protocols. 3(7). e849–e849. 21 indexed citations
5.
Stossi, Fabio, Pankaj K. Singh, Hannah L. Johnson, et al.. (2022). Quality Control for Single Cell Imaging Analytics Using Endocrine Disruptor-Induced Changes in Estrogen Receptor Expression. Environmental Health Perspectives. 130(2). 27008–27008. 7 indexed citations
6.
Singh, Pankaj K., et al.. (2022). Traffic Management Scheduling using Image/Video Processing for Smart Cities. 2022 4th International Conference on Inventive Research in Computing Applications (ICIRCA). 295–302. 1 indexed citations
7.
Ferri‐Borgogno, Sammy, Sugata Barui, Pankaj K. Singh, et al.. (2020). Paradoxical Role of AT-rich Interactive Domain 1A in Restraining Pancreatic Carcinogenesis. Cancers. 12(9). 2695–2695. 16 indexed citations
8.
Stossi, Fabio, Pankaj K. Singh, Hannah L. Johnson, et al.. (2020). Single-Cell Distribution Analysis of AR Levels by High-Throughput Microscopy in Cell Models: Application for Testing Endocrine-Disrupting Chemicals. SLAS DISCOVERY. 25(7). 684–694. 3 indexed citations
9.
Singh, Pankaj K., et al.. (2020). Single Cell Analysis Of Transcriptionally Active Alleles By Single Molecule FISH. Journal of Visualized Experiments. 3 indexed citations
10.
Singh, Pankaj K., Amit Deorukhkar, Bhanu Prasad Venkatesulu, et al.. (2019). Exploiting Arginine Auxotrophy with Pegylated Arginine Deiminase (ADI-PEG20) to Sensitize Pancreatic Cancer to Radiotherapy via Metabolic Dysregulation. Molecular Cancer Therapeutics. 18(12). 2381–2393. 28 indexed citations
11.
Venkatesulu, Bhanu Prasad, Amrish Sharma, Julianne Pollard‐Larkin, et al.. (2019). Ultra high dose rate (35 Gy/sec) radiation does not spare the normal tissue in cardiac and splenic models of lymphopenia and gastrointestinal syndrome. Scientific Reports. 9(1). 17180–17180. 96 indexed citations
12.
Chen, Yuan, Maureen Aliru, Amit Deorukhkar, et al.. (2018). Hypoxia-targeted gold nanorods for cancer photothermal therapy. Oncotarget. 9(41). 26556–26571. 29 indexed citations
13.
Singh, Pankaj K., Paul Hernández‐Herrera, Demetrio Labate, & Manos Papadakis. (2017). Automated 3-D Detection of Dendritic Spines from In Vivo Two-Photon Image Stacks. Neuroinformatics. 15(4). 303–319. 6 indexed citations
14.
Alshammari, Tahani K., Musaad A. Alshammari, Miroslav N. Nenov, et al.. (2016). Genetic deletion of fibroblast growth factor 14 recapitulates phenotypic alterations underlying cognitive impairment associated with schizophrenia. Translational Psychiatry. 6(5). e806–e806. 27 indexed citations
15.
Xu, Huae, et al.. (2016). Synergistic anti-glioma effect of a coloaded nano-drug delivery system. International Journal of Nanomedicine. Volume 12. 29–40. 34 indexed citations
16.
Singh, Pankaj K., et al.. (2016). Multiscale Analysis of Neurite Orientation and Spatial Organization in Neuronal Images. Neuroinformatics. 14(4). 465–477. 4 indexed citations
17.
Diagaradjane, Parmeswaran, et al.. (2015). TU-F-CAMPUS-T-03: Enhancing the Tumor Specific Radiosensitization Using Molecular Targeted Gold Nanorods. Medical Physics. 42(6Part36). 3644–3644. 1 indexed citations
18.
Singh, Pankaj K., et al.. (2011). Texture information-based hybrid methodology for the segmentation of SAR images. International Journal of Remote Sensing. 32(15). 4155–4173. 1 indexed citations
19.
Mishra, Amit Kumar, et al.. (2011). An information geometry based scheme for hard exudate detection in fundus Images. 87. 1–4. 5 indexed citations
20.
Sikka, Karan, et al.. (2009). A fully automated algorithm under modified FCM framework for improved brain MR image segmentation. Magnetic Resonance Imaging. 27(7). 994–1004. 99 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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