Prachi Singh

564 total citations
22 papers, 374 citations indexed

About

Prachi Singh is a scholar working on Pharmacology, Radiology, Nuclear Medicine and Imaging and Genetics. According to data from OpenAlex, Prachi Singh has authored 22 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pharmacology, 7 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Genetics. Recurrent topics in Prachi Singh's work include Inflammatory mediators and NSAID effects (8 papers), Eicosanoids and Hypertension Pharmacology (4 papers) and Estrogen and related hormone effects (4 papers). Prachi Singh is often cited by papers focused on Inflammatory mediators and NSAID effects (8 papers), Eicosanoids and Hypertension Pharmacology (4 papers) and Estrogen and related hormone effects (4 papers). Prachi Singh collaborates with scholars based in United States, India and Spain. Prachi Singh's co-authors include Audrey P. Fan, Mehdi Khalighi, Bin Shen, Jun Hyung Park, Frederick T. Chin, Greg Zaharchuk, Victor W. Pike, Robert B. Innis, Sami S. Zoghbi and Praveen Gulaka and has published in prestigious journals such as SHILAP Revista de lepidopterología, Stroke and Biological Psychiatry.

In The Last Decade

Prachi Singh

21 papers receiving 369 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Prachi Singh United States 10 142 67 62 56 48 22 374
Han Chan China 5 21 0.1× 126 1.9× 49 0.8× 45 0.8× 14 0.3× 13 551
Mylène Pouliot Canada 15 201 1.4× 94 1.4× 54 0.9× 8 0.1× 49 1.0× 39 606
Jichen Du China 10 29 0.2× 36 0.5× 13 0.2× 28 0.5× 14 0.3× 33 312
Hannah Youngblood United States 10 121 0.9× 31 0.5× 31 0.5× 7 0.1× 11 0.2× 14 459
Yuling Zhang China 11 23 0.2× 28 0.4× 11 0.2× 22 0.4× 26 0.5× 44 401
Steven Verdooner United States 9 301 2.1× 44 0.7× 23 0.4× 7 0.1× 61 1.3× 14 656
Hande Güçlü Türkiye 12 84 0.6× 30 0.4× 13 0.2× 20 0.4× 9 0.2× 32 327
Ioannis Lamproglou France 12 54 0.4× 178 2.7× 30 0.5× 5 0.1× 66 1.4× 25 498
Hongxuan Feng China 12 36 0.3× 38 0.6× 21 0.3× 7 0.1× 23 0.5× 30 348

Countries citing papers authored by Prachi Singh

Since Specialization
Citations

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

Fields of papers citing papers by Prachi Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prachi Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Prachi Singh. A scholar is included among the top collaborators of Prachi 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 Prachi Singh. Prachi 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, Rekha, et al.. (2025). MOPSO-driven optimization for sustainable retrofitting: balancing time, cost, and environmental impacts. Asian Journal of Civil Engineering. 26(5). 2165–2178. 8 indexed citations
2.
Singh, Prachi, et al.. (2024). A Novel Approach to Pollution Source Identification in Groundwater Using Hybrid Ensemble of Wavelet Neural Network (WNN) and ARIMA. Environmental Forensics. 25(6). 645–657. 1 indexed citations
3.
Singh, Prachi, et al.. (2024). Prediction of groundwater contamination in an open landfill area using a novel hybrid clustering-based ai model. Environment Protection Engineering. 50(1). 1 indexed citations
4.
Singh, Prachi, et al.. (2021). PIXEL BASED LANDSLIDE IDENTIFICATION USING LANDSAT 8 AND GEE. SHILAP Revista de lepidopterología. XLIII-B3-2021. 721–726. 5 indexed citations
5.
Singh, Prachi, et al.. (2021). Pixel Based Landslide Identification Using Landsat 8 and GEE. 8444–8447. 12 indexed citations
6.
Kim, Min-Jeong, Jae‐Hoon Lee, Jinsoo Hong, et al.. (2020). First-in-human evaluation of [11C]PS13, a novel PET radioligand, to quantify cyclooxygenase-1 in the brain. European Journal of Nuclear Medicine and Molecular Imaging. 47(13). 3143–3151. 28 indexed citations
7.
Singh, Raj Mohan, et al.. (2020). Environmental Processes and Management Tools and Practices. 6 indexed citations
9.
Shrestha, Saurav, Prachi Singh, Cheryl L. Morse, et al.. (2018). Evaluation of Two Potent and Selective PET Radioligands to Image COX-1 and COX-2 in Rhesus Monkeys. Journal of Nuclear Medicine. 59(12). 1907–1912. 39 indexed citations
10.
Shrestha, Saurav, Prachi Singh, Cheryl L. Morse, et al.. (2018). 2-(4-Methylsulfonylphenyl)pyrimidines as Prospective Radioligands for Imaging Cyclooxygenase-2 with PET—Synthesis, Triage, and Radiolabeling. Molecules. 23(11). 2850–2850. 15 indexed citations
11.
Singh, Prachi, Saurav Shrestha, Kimberly J. Jenko, et al.. (2018). 3-Substituted 1,5-Diaryl-1H-1,2,4-triazoles as Prospective PET Radioligands for Imaging Brain COX-1 in Monkey. Part 1: Synthesis and Pharmacology. ACS Chemical Neuroscience. 9(11). 2610–2619. 30 indexed citations
12.
Shrestha, Saurav, Prachi Singh, Kimberly J. Jenko, et al.. (2018). 3-Substituted 1,5-Diaryl-1H-1,2,4-triazoles as Prospective PET Radioligands for Imaging Brain COX-1 in Monkey. Part 2: Selection and Evaluation of [11C]PS13 for Quantitative Imaging. ACS Chemical Neuroscience. 9(11). 2620–2627. 25 indexed citations
13.
Shrestha, Saurav, Prachi Singh, Cheryl L. Morse, et al.. (2018). S173. Evaluation of a Potent and Selective PET Radioligand to Image COX-1 in Human and Nonhuman Primates. Biological Psychiatry. 83(9). S415–S415. 2 indexed citations
14.
Gallagher, Evan, Saurav Shrestha, Mark A. G. Eldridge, et al.. (2018). T80. Novel PET Radioligands Show That COX-2, but not COX-1, is Induced by Neuroinflammation in Rhesus Macaque. Biological Psychiatry. 83(9). S160–S160. 4 indexed citations
15.
Khalighi, Mehdi, Timothy W. Deller, Audrey P. Fan, et al.. (2017). Image-derived input function estimation on a TOF-enabled PET/MR for cerebral blood flow mapping. Journal of Cerebral Blood Flow & Metabolism. 38(1). 126–135. 42 indexed citations
16.
Fan, Audrey P., Jia Guo, Mehdi Khalighi, et al.. (2017). Long-Delay Arterial Spin Labeling Provides More Accurate Cerebral Blood Flow Measurements in Moyamoya Patients. Stroke. 48(9). 2441–2449. 84 indexed citations
17.
Khalighi, Mehdi, Audrey P. Fan, Gaspar Delso, et al.. (2016). Image-based arterial input function estimation for cerebral blood flow measurement on a PET/MR scanner. 57. 1627–1627. 3 indexed citations
18.
Singh, Prachi, Cheryl L. Morse, Kimberly J. Jenko, et al.. (2015). [18F]PS-2 as a candidate radioligand for imaging COX-1 expression in brain: radiosynthesis and monkey PET imaging. 56. 1091–1091. 1 indexed citations
19.
Singh, Prachi, et al.. (2014). Ethnomedicinal Utilization of Zingiberaceae in the Valley Districts of Manipur. IOSR Journal of Environmental Science Toxicology and Food Technology. 8(2). 21–23. 23 indexed citations
20.
Singh, Prachi & Rajendra Gupta. (2014). A Novel Data Preparation Approach for Target Based Association Rule Mining. Wireless Sensor Network. 6(11). 249–255. 1 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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