Surbhi Singh

404 total citations
36 papers, 245 citations indexed

About

Surbhi Singh is a scholar working on Electrical and Electronic Engineering, Molecular Biology and Materials Chemistry. According to data from OpenAlex, Surbhi Singh has authored 36 papers receiving a total of 245 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Electrical and Electronic Engineering, 5 papers in Molecular Biology and 5 papers in Materials Chemistry. Recurrent topics in Surbhi Singh's work include Supramolecular Self-Assembly in Materials (4 papers), Advanced Nanomaterials in Catalysis (3 papers) and Microgrid Control and Optimization (2 papers). Surbhi Singh is often cited by papers focused on Supramolecular Self-Assembly in Materials (4 papers), Advanced Nanomaterials in Catalysis (3 papers) and Microgrid Control and Optimization (2 papers). Surbhi Singh collaborates with scholars based in India, United States and Uganda. Surbhi Singh's co-authors include Kriti Yadav, Namrata Bist, A. Sircar, Neha Kumar, Anupriya Tuli, Bhagwati Sharma, Preeti Patel, Balak Das Kurmi, Harsh Vikram Singh and Anand Mohan and has published in prestigious journals such as Journal of Clinical Oncology, The American Journal of Gastroenterology and Soft Matter.

In The Last Decade

Surbhi Singh

22 papers receiving 236 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Surbhi Singh India 7 109 69 61 35 30 36 245
Ashis Kumar Sarkar India 8 70 0.6× 44 0.6× 29 0.5× 63 1.8× 143 4.8× 25 320
Suya Yin China 10 48 0.4× 196 2.8× 33 0.5× 25 0.7× 90 3.0× 11 352
Yuhan Yan China 9 14 0.1× 12 0.2× 11 0.2× 35 1.0× 19 0.6× 43 280
Jingyi Zhu China 10 27 0.2× 15 0.2× 14 0.2× 163 4.7× 145 4.8× 30 314
Yupeng Du China 12 42 0.4× 21 0.3× 6 0.1× 79 2.3× 122 4.1× 36 376
Andrey Zyubin Russia 8 19 0.2× 26 0.4× 3 0.0× 40 1.1× 6 0.2× 56 311
Jianhao Zhu China 10 7 0.1× 8 0.1× 10 0.2× 76 2.2× 27 0.9× 38 276
Gareth Chaplin Canada 9 26 0.2× 24 0.3× 64 1.0× 3 0.1× 122 4.1× 11 381
Jishuai Wang China 11 15 0.1× 9 0.1× 4 0.1× 44 1.3× 14 0.5× 35 308
Fernando Segura M. Trejo Mexico 10 212 1.9× 346 5.0× 242 4.0× 12 0.3× 136 4.5× 27 438

Countries citing papers authored by Surbhi Singh

Since Specialization
Citations

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

Fields of papers citing papers by Surbhi Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Surbhi Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Surbhi Singh. A scholar is included among the top collaborators of Surbhi 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 Surbhi Singh. Surbhi 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.
2.
Singh, Surbhi, et al.. (2025). Unveiling immune and signalling proteins in recurrent pregnancy loss: GEO2R analysis sheds light. Computers in Biology and Medicine. 194. 110535–110535.
3.
Chauhan, Ashish Singh, et al.. (2025). Resveratrol in oral cancer: a systematic review of preclinical studies on its anticancer mechanisms and therapeutic potential. Medical Oncology. 42(8). 329–329. 2 indexed citations
5.
Mohammedsaleh, Zuhair M., et al.. (2025). Exosomes in Autoimmunity: Mediators of Autoantigen Presentation and Targets for Therapeutic Intervention in Autoimmune Diseases. Journal of Clinical Immunology. 46(1). 3–3.
7.
Singh, Surbhi, et al.. (2025). Natural compounds as therapeutic candidates for spinocerebellar ataxia type 1: a computational approach. In Silico Pharmacology. 13(1). 46–46.
8.
Sharma, Anup, et al.. (2024). Multifunctional Transparent Conductive Flexible Sensor Based on Graphene/Polyaniline/ Graphene Sandwich Composite on PDMS Substrate. IEEE Sensors Journal. 24(16). 25328–25336. 3 indexed citations
10.
11.
Singh, Surbhi, et al.. (2024). Revolutionizing Indole Synthesis: A Microwave‐Powered Approach. ChemistrySelect. 9(23). 6 indexed citations
13.
Singh, Surbhi, et al.. (2023). Laccase and peroxidase mimetic CuxO-ZnO microstructures for optical biosensing applications. Journal of materials research/Pratt's guide to venture capital sources. 38(15). 3638–3654. 6 indexed citations
15.
Sircar, A., et al.. (2021). Applications of nanoparticles in enhanced oil recovery. Petroleum Research. 7(1). 77–90. 129 indexed citations
16.
Singh, Surbhi, et al.. (2020). Pseudotumor deltoideus: An underreported and misinterpreted cause of shoulder pain. Indian journal of radiology and imaging - new series/Indian journal of radiology and imaging/Indian Journal of Radiology & Imaging. 30(2). 233–233.
17.
Singh, Surbhi, et al.. (2020). Fraud Detection on Social Media using Data Analytics. International Journal of Engineering Research and. V9(1). 4 indexed citations
20.
Singh, Surbhi, et al.. (2006). Paraffin Deposition Problems of Mumbai High. 2 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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