Sanpreet Singh

453 total citations
17 papers, 327 citations indexed

About

Sanpreet Singh is a scholar working on Immunology, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Sanpreet Singh has authored 17 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 7 papers in Infectious Diseases and 5 papers in Molecular Biology. Recurrent topics in Sanpreet Singh's work include Tuberculosis Research and Epidemiology (6 papers), Immune Response and Inflammation (4 papers) and Immune cells in cancer (4 papers). Sanpreet Singh is often cited by papers focused on Tuberculosis Research and Epidemiology (6 papers), Immune Response and Inflammation (4 papers) and Immune cells in cancer (4 papers). Sanpreet Singh collaborates with scholars based in India, United States and Canada. Sanpreet Singh's co-authors include Javed N. Agrewala, Deepyan Chatterjee, Mohammad Aqdas, Nargis Khan, Hilal Bashir, Manoj Kumar Tewari, Aurobind Vidyarthi, Tapan Agnihotri, Bishan Radotra and Gurpreet Kaur and has published in prestigious journals such as Journal of Biological Chemistry, Cellular and Molecular Life Sciences and Frontiers in Immunology.

In The Last Decade

Sanpreet Singh

16 papers receiving 324 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sanpreet Singh India	11	144	124	65	51	42	17	327
Shiou-Ling Lu Taiwan	9	107 0.7×	126 1.0×	39 0.6×	16 0.3×	16 0.4×	10	331
Frank Jüngerkes Germany	5	330 2.3×	116 0.9×	13 0.2×	50 1.0×	57 1.4×	8	507
Cheng‐mei Tian China	13	59 0.4×	316 2.5×	37 0.6×	20 0.4×	52 1.2×	24	534
W Lang Germany	9	48 0.3×	175 1.4×	74 1.1×	37 0.7×	27 0.6×	17	506
Ingrid Tubbe Germany	6	297 2.1×	163 1.3×	37 0.6×	6 0.1×	57 1.4×	9	503
Xiangfeng Leng China	9	108 0.8×	95 0.8×	29 0.4×	19 0.4×	20 0.5×	31	409
Min‐zheng Zhu China	13	57 0.4×	300 2.4×	37 0.6×	20 0.4×	49 1.2×	18	491
Katelyn O’Neill United States	6	78 0.5×	130 1.0×	37 0.6×	39 0.8×	14 0.3×	8	529
Amir Khan United States	11	77 0.5×	83 0.7×	25 0.4×	10 0.2×	24 0.6×	18	350

Countries citing papers authored by Sanpreet Singh

Since Specialization

Citations

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

Fields of papers citing papers by Sanpreet Singh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sanpreet Singh

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

All Works

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17 of 17 papers shown

Singh, Sanpreet, Jonaid Ahmad Malik, Ritika Gautam Singh, et al.. (2025). Chronic administration of morphine provokes generation of antibodies to morphine and immunosuppression in individuals with opioid use disorder. Journal of Biosciences. 50(2).

Malik, Jonaid Ahmad, Sanpreet Singh, Hilal Bashir, et al.. (2024). From defense to dysfunction: Autophagy's dual role in disease pathophysiology. European Journal of Pharmacology. 981. 176856–176856. 5 indexed citations

Bashir, Hilal, Sanpreet Singh, R. P. Singh, Javed N. Agrewala, & Rashmi Kumar. (2023). Age‐mediated gut microbiota dysbiosis promotes the loss of dendritic cells tolerance. Aging Cell. 22(6). e13838–e13838. 27 indexed citations

Das, Deepjyoti Kumar, Sanpreet Singh, Hilal Bashir, et al.. (2022). Targeting dendritic cells with TLR-2 ligand–coated nanoparticles loaded with Mycobacterium tuberculosis epitope induce antituberculosis immunity. Journal of Biological Chemistry. 298(12). 102596–102596. 6 indexed citations

Singh, Sanpreet, et al.. (2022). Mycobacterium tuberculosis exploits MPT64 to generate myeloid-derived suppressor cells to evade the immune system. Cellular and Molecular Life Sciences. 79(11). 567–567. 16 indexed citations

Kaur, Gurpreet, et al.. (2022). Fiction and Facts about BCG Imparting Trained Immunity against COVID-19. Vaccines. 10(7). 1006–1006. 14 indexed citations

Singh, Sanpreet, et al.. (2021). Deciphering the Antibacterial Role of Peptide From Bacillus subtilis subsp. spizizenii Ba49 Against Staphylococcus aureus. Frontiers in Microbiology. 12. 708712–708712. 15 indexed citations

Aqdas, Mohammad, et al.. (2021). Cumulative Signaling Through NOD-2 and TLR-4 Eliminates the Mycobacterium Tuberculosis Concealed Inside the Mesenchymal Stem Cells. Frontiers in Cellular and Infection Microbiology. 11. 669168–669168. 10 indexed citations

Raut, Sachin, et al.. (2021). Insight Into the Beneficial Role of Lactiplantibacillus plantarum Supernatant Against Bacterial Infections, Oxidative Stress, and Wound Healing in A549 Cells and BALB/c Mice. Frontiers in Pharmacology. 12. 728614–728614. 24 indexed citations

10.

Kumar, Naresh, et al.. (2021). Napier natural fibre used as reinforcement polymer composite: As asbestos free brake friction material. Materials Today Proceedings. 56. 2532–2536. 7 indexed citations

11.

Aqdas, Mohammad, Susanta Pahari, Sanpreet Singh, et al.. (2021). Immunotherapeutic Role of NOD-2 and TLR-4 Signaling as an Adjunct to Antituberculosis Chemotherapy. ACS Infectious Diseases. 7(11). 2999–3008. 7 indexed citations

12.

Aqdas, Mohammad, Deepjyoti Kumar Das, Sanpreet Singh, et al.. (2020). A multiple T cell epitope comprising DNA vaccine boosts the protective efficacy of Bacillus Calmette–Guérin (BCG) against Mycobacterium tuberculosis. BMC Infectious Diseases. 20(1). 677–677. 11 indexed citations

13.

Vidyarthi, Aurobind, Tapan Agnihotri, Nargis Khan, et al.. (2019). Predominance of M2 macrophages in gliomas leads to the suppression of local and systemic immunity. Cancer Immunology Immunotherapy. 68(12). 1995–2004. 108 indexed citations

14.

Sehgal, Rakesh, et al.. (2019). Vibrations signature analysis of whirling shaft of varying diameters operated at varying speeds. Journal of Physics Conference Series. 1240(1). 12155–12155. 2 indexed citations

15.

Pahari, Susanta, Gurpreet Kaur, Shikha Negi, et al.. (2018). Reinforcing the Functionality of Mononuclear Phagocyte System to Control Tuberculosis. Frontiers in Immunology. 9. 193–193. 28 indexed citations

16.

Bansal, Kavita, Mohammad Aqdas, Munish Kumar, et al.. (2018). A Facile Approach for Synthesis and Intracellular Delivery of Size Tunable Cationic Peptide Functionalized Gold Nanohybrids in Cancer Cells. Bioconjugate Chemistry. 29(4). 1102–1110. 24 indexed citations

17.

Pahari, Susanta, Gurpreet Kaur, Mohammad Aqdas, et al.. (2017). Bolstering Immunity through Pattern Recognition Receptors: A Unique Approach to Control Tuberculosis. Frontiers in Immunology. 8. 906–906. 23 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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