Kiran Pandey

825 total citations · 1 hit paper
53 papers, 621 citations indexed

About

Kiran Pandey is a scholar working on Pediatrics, Perinatology and Child Health, Epidemiology and Agronomy and Crop Science. According to data from OpenAlex, Kiran Pandey has authored 53 papers receiving a total of 621 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Pediatrics, Perinatology and Child Health, 8 papers in Epidemiology and 8 papers in Agronomy and Crop Science. Recurrent topics in Kiran Pandey's work include Reproductive Physiology in Livestock (8 papers), Cervical Cancer and HPV Research (6 papers) and Alzheimer's disease research and treatments (5 papers). Kiran Pandey is often cited by papers focused on Reproductive Physiology in Livestock (8 papers), Cervical Cancer and HPV Research (6 papers) and Alzheimer's disease research and treatments (5 papers). Kiran Pandey collaborates with scholars based in India, Japan and United States. Kiran Pandey's co-authors include Arunodaya Raj Mishra, Pratibha Rani, Hiroya Kadokawa, Abbas Mardani, Melfi Alrasheedi, Justas Štreimikis, Asima Pradhan, Dalia Štreimikienė, Asha Agarwal and V. Borromeo and has published in prestigious journals such as IEEE Access, Sustainability and Neurobiology of Disease.

In The Last Decade

Kiran Pandey

49 papers receiving 603 citations

Hit Papers

Fermatean fuzzy CRITIC-EDAS approach for the selection of... 2021 2026 2022 2024 2021 50 100 150
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. Fermatean fuzzy CRITIC-EDAS approach for the selection of sustainable third-party reverse logistics providers using improved generalized score function
    2021 164 citations Arunodaya Raj Mishra, Pratibha Rani et al. Journal of Ambient Intelligence and Humanized Computing profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kiran Pandey India 12 232 99 58 58 57 53 621
Ezgi Demirtaş Türkiye 19 455 2.0× 377 3.8× 161 2.8× 11 0.2× 108 1.9× 66 1.7k
Jiří Hřebíček Czechia 14 42 0.2× 112 1.1× 9 0.2× 2 0.0× 75 1.3× 144 892
Yuji Naka Japan 14 24 0.1× 37 0.4× 253 4.4× 10 0.2× 69 1.2× 54 709
B. Wang China 8 19 0.1× 72 0.7× 34 0.6× 2 0.0× 18 0.3× 22 517
Aihua Wang China 15 345 1.5× 53 0.5× 131 2.3× 6 0.1× 45 0.8× 36 693
Kristina Šutienė Lithuania 10 38 0.2× 59 0.6× 13 0.2× 9 0.2× 30 307
Antonio Jiménez Martín Spain 18 339 1.5× 26 0.3× 100 1.7× 3 0.1× 98 1.7× 111 911
Qun Su China 14 24 0.1× 160 1.6× 8 0.1× 25 0.4× 219 3.8× 47 843
Wei‐Chun Chen Taiwan 14 12 0.1× 95 1.0× 9 0.2× 4 0.1× 208 3.6× 48 793

Countries citing papers authored by Kiran Pandey

Since Specialization
Citations

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

Fields of papers citing papers by Kiran Pandey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kiran Pandey

This figure shows the co-authorship network connecting the top 25 collaborators of Kiran Pandey. A scholar is included among the top collaborators of Kiran Pandey 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 Kiran Pandey. Kiran Pandey 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.
Hajós, Mihály, Kiran Pandey, Annabelle C. Singer, et al.. (2025). CSF proteomics reveals changes in myelin and synaptic biology after Spectris treatment. Alzheimer s & Dementia Translational Research & Clinical Interventions. 11(1). e70051–e70051. 1 indexed citations
2.
Lizama, Britney N., Claire Williams, Kiran Pandey, et al.. (2024). CT1812 biomarker signature from a meta‐analysis of CSF proteomic findings from two Phase 2 clinical trials in Alzheimer's disease. Alzheimer s & Dementia. 20(10). 6860–6880. 4 indexed citations
3.
Pandey, Kiran, Cecilia Williams, Duc M. Duong, et al.. (2024). An interim exploratory proteomics biomarker analysis of a phase 2 clinical trial to assess the impact of CT1812 in Alzheimer's disease. Neurobiology of Disease. 199. 106575–106575. 9 indexed citations
4.
Pandey, Kiran, et al.. (2023). Selecting features by utilizing intuitionistic fuzzy Entropy method. Decision Making Applications in Management and Engineering. 6(1). 111–133. 23 indexed citations
5.
Mardani, Abbas, et al.. (2023). Hybrid Intuitionistic Fuzzy Entropy-SWARA-COPRAS Method for Multi-Criteria Sustainable Biomass Crop Type Selection. Sustainability. 15(10). 7765–7765. 11 indexed citations
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Mishra, Arunodaya Raj, Pratibha Rani, & Kiran Pandey. (2021). Fermatean fuzzy CRITIC-EDAS approach for the selection of sustainable third-party reverse logistics providers using improved generalized score function. Journal of Ambient Intelligence and Humanized Computing. 13(1). 295–311. 164 indexed citations breakdown →
9.
Pandey, Kiran, et al.. (2020). A Review of Cases of Peripartum Hysterectomy: Five Year Experience at Tertiary Care Centre in North India. 10(1). 1 indexed citations
10.
Tripathi, Prashant, et al.. (2019). Significance of Vitamin D on the Susceptibility of Gestational Diabetes Mellitus – A Meta-Analysis. Indian Journal of Endocrinology and Metabolism. 23(5). 514–524. 11 indexed citations
11.
Agarwal, Asha, et al.. (2019). Concentration of FAD as a marker for cervical precancer detection. Journal of Biomedical Optics. 24(3). 1–1. 10 indexed citations
12.
Jagtap, Jaidip, et al.. (2017). Effective Screening and Classification of Cervical Precancer Biopsy Imagery. IEEE Transactions on NanoBioscience. 16(8). 687–693. 6 indexed citations
13.
Pandey, Kiran, et al.. (2017). Heifers express G-protein coupled receptor 61 in anterior pituitary gonadotrophs in stage-dependent manner. Animal Reproduction Science. 181(1). 93–102. 11 indexed citations
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Pandey, Kiran, et al.. (2016). Role of anti-oxidants to reduce free radical induced injury in preeclampsia. International Journal of Reproduction Contraception Obstetrics and Gynecology. 3795–3798. 1 indexed citations
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Pandey, Kiran, et al.. (2012). Hyperhomocysteinemia as a Risk Factor for IUGR. The Journal of Obstetrics and Gynecology of India. 62(4). 406–408. 7 indexed citations
18.
Pandey, Kiran, et al.. (2012). Fluorescence Spectroscopy: A New Approach in Cervical Cancer. The Journal of Obstetrics and Gynecology of India. 62(4). 432–436. 20 indexed citations
19.
Jain, Rakhi, et al.. (2011). Lipid Profile & Apolipoproteins in Neonates in relation to Birth Weight and Gestational Maturity. Journal of Pediatric Neurosciences. 3(2). 2 indexed citations
20.
Kaur, Hargun, et al.. (2000). High Thoracic Epidural Anaesthesia and Post Operative Analgesia for Fast Tracking Patients undergoing CABG: Our Initial Experience.. PubMed. 3(1). 23–7. 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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