Parneet Singh

640 total citations · 1 hit paper
23 papers, 366 citations indexed

About

Parneet Singh is a scholar working on Surgery, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Parneet Singh has authored 23 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Surgery, 9 papers in Oncology and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Parneet Singh's work include Cancer Diagnosis and Treatment (5 papers), Radiopharmaceutical Chemistry and Applications (3 papers) and Peptidase Inhibition and Analysis (3 papers). Parneet Singh is often cited by papers focused on Cancer Diagnosis and Treatment (5 papers), Radiopharmaceutical Chemistry and Applications (3 papers) and Peptidase Inhibition and Analysis (3 papers). Parneet Singh collaborates with scholars based in India, United States and Ethiopia. Parneet Singh's co-authors include Aditya Khamparia, Mohammad Shabaz, Sagar Dhanraj Pande, Gaurav Dhiman, Kanhaiyalal Agrawal, Girish Kumar Parida, Gaurav Sharma, Sweety Gupta, Amit Kumar and Pankaj Garg and has published in prestigious journals such as SHILAP Revista de lepidopterología, British Journal of Radiology and Computational Intelligence and Neuroscience.

In The Last Decade

Parneet Singh

14 papers receiving 335 citations

Hit Papers

Prediction of Heart Disease Using a Combination of Machin... 2021 2026 2022 2024 2021 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Prediction of Heart Disease Using a Combination of Machine Learning and Deep Learning
    2021 331 citations Aditya Khamparia, Mohammad Shabaz et al. Computational Intelligence and Neuroscience profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Parneet Singh India 5 238 138 85 76 29 23 366
Oumaima Terrada Morocco 13 136 0.6× 211 1.5× 35 0.4× 120 1.6× 44 1.5× 16 417
Asma Baccouche United States 7 70 0.3× 216 1.6× 26 0.3× 169 2.2× 33 1.1× 7 340
Cristián Castillo-Olea Spain 8 96 0.4× 189 1.4× 28 0.3× 174 2.3× 11 0.4× 19 371
Youness Khourdifi Morocco 6 181 0.8× 166 1.2× 24 0.3× 62 0.8× 29 1.0× 8 281
Behdad Bahadorian Iran 7 242 1.0× 182 1.3× 110 1.3× 53 0.7× 62 2.1× 8 361
Anna Karen Gárate-Escamilla France 4 184 0.8× 124 0.9× 40 0.5× 52 0.7× 28 1.0× 8 274
Shahid Mohammad Ganie India 9 193 0.8× 160 1.2× 17 0.2× 39 0.5× 11 0.4× 22 311
Hamada R. H. Al-Absi Qatar 11 106 0.4× 99 0.7× 27 0.3× 170 2.2× 7 0.2× 30 390
Farida Mohsen Qatar 7 52 0.2× 125 0.9× 29 0.3× 99 1.3× 11 0.4× 17 316
Md Tabrez Nafis India 7 50 0.2× 90 0.7× 27 0.3× 34 0.4× 37 1.3× 27 214

Countries citing papers authored by Parneet Singh

Since Specialization
Citations

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

Fields of papers citing papers by Parneet Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Parneet Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Parneet Singh. A scholar is included among the top collaborators of Parneet 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 Parneet Singh. Parneet 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, Parneet, et al.. (2025). [18F]FDG PET/CT in Metastatic Extragonadal Choriocarcinoma. Journal of Nuclear Medicine Technology. 53(1). 87–88.
2.
Singh, Parneet, et al.. (2024). Rare Case of Primary Leiomyosarcoma of Bone – Findings on 18F-fluorodeoxyglucose Positron Emission Tomography/Computed Tomography. Indian Journal of Nuclear Medicine. 39(1). 52–54. 1 indexed citations
3.
Agrawal, Kanhaiyalal, et al.. (2024). Cancer Integrin Imaging With 68Ga-Trivehexin PET-CT in Head and Neck Squamous Cell Carcinoma Improves Diagnostic Accuracy. Clinical Nuclear Medicine. 50(3). e180–e181. 2 indexed citations
4.
Singh, Parneet, et al.. (2024). “Cancer Integrin” αvβ6 Imaging With 68Ga-Trivehexin PET/CT in Assessment of Ovarian Carcinoma. Clinical Nuclear Medicine. 49(11). e619–e621. 4 indexed citations
5.
Singh, Parneet, et al.. (2024). Diagnostic Performance of FAPI PET/CT vs. <sup>18</sup>F-FDG PET/CT in Evaluation of Liver Tumors: A Systematic Review and Meta-analysis. Molecular Imaging and Radionuclide Therapy. 0(0). 0–0. 5 indexed citations
6.
Singh, Parneet, et al.. (2024). Role of PSMA-targeted PET-CT in renal cell carcinoma: a systematic review and meta-analysis. Annals of Nuclear Medicine. 38(3). 176–187. 9 indexed citations
7.
Singh, Parneet, et al.. (2024). Incidental 68Ga-PSMA Uptake in the Benign Enchondroma—A Rare Finding on 68Ga-PSMA PET/CT. Clinical Nuclear Medicine. 49(10). e525–e527. 1 indexed citations
8.
9.
Parida, Girish Kumar, et al.. (2023). Complex Regional Pain Syndrome-like Pattern in a Case of Pancoast Tumor. Indian Journal of Nuclear Medicine. 38(4). 384–386.
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12.
Singh, Parneet, et al.. (2023). Aberrant Radioactive Iodine Uptake in Simple Ovarian Cyst: A Rare Finding. Indian Journal of Nuclear Medicine. 38(4). 387–389.
13.
Singh, Parneet, et al.. (2023). False-Positive Radioiodine Uptake in the Cervix in a Patient with Thyroid Cancer. Indian Journal of Nuclear Medicine. 38(3). 270–272. 1 indexed citations
14.
Parida, Girish Kumar, et al.. (2023). Steroid-Induced Activated White Adipose Tissue Detected on18F-FDG PET/CT. Journal of Nuclear Medicine Technology. 51(2). 158–159.
15.
Singh, Parneet, et al.. (2023). Uterine Metastasis Presenting as Abnormal Uterine Bleeding in a Case of Primary Breast Cancer Identified on18F-FDG PET/CT. Journal of Nuclear Medicine Technology. 51(4). 333–334.
16.
Singh, Parneet, et al.. (2023). Rare Case of Phyllodes Tumor of Breast with Cardiac and Pancreatic Metastases: Findings on18F-FDG PET/CT. Journal of Nuclear Medicine Technology. 51(2). 156–157. 2 indexed citations
17.
Singh, Parneet, et al.. (2022). Utility of Axillary Reverse Mapping (ARM) and Incidence of Metastasis in Arm Draining Lymph Nodes in Patients with Breast Cancer. SHILAP Revista de lepidopterología. 21(1). 28–33. 1 indexed citations
18.
Singh, Parneet, et al.. (2022). The Vital Role of 131I-MIBG in Localization of Paraganglioma at Unusual Sites. SHILAP Revista de lepidopterología. 21(3). 251–254. 1 indexed citations
19.
Khamparia, Aditya, et al.. (2021). Prediction of Heart Disease Using a Combination of Machine Learning and Deep Learning. Computational Intelligence and Neuroscience. 2021(1). 8387680–8387680. 331 indexed citations breakdown →
20.
Sharma, Gaurav, et al.. (2021). Cutaneous Metastases as Initial Presentation of Lung Carcinoma. Cureus. 13(5). e15344–e15344. 3 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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