Ankit Sinha

3.9k total citations
33 papers, 1.4k citations indexed

About

Ankit Sinha is a scholar working on Molecular Biology, Spectroscopy and Immunology. According to data from OpenAlex, Ankit Sinha has authored 33 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 7 papers in Spectroscopy and 5 papers in Immunology. Recurrent topics in Ankit Sinha's work include Extracellular vesicles in disease (7 papers), Advanced Proteomics Techniques and Applications (7 papers) and RNA Interference and Gene Delivery (3 papers). Ankit Sinha is often cited by papers focused on Extracellular vesicles in disease (7 papers), Advanced Proteomics Techniques and Applications (7 papers) and RNA Interference and Gene Delivery (3 papers). Ankit Sinha collaborates with scholars based in Canada, United States and India. Ankit Sinha's co-authors include Thomas Kislinger, Jayant K. Singh, Goutam Deo, Sudhir Kumar Singh, Alexandr Ignatchenko, Vladimir Ignatchenko, Javier A. Alfaro, Paul C. Boutros, Simona Principe and Salvador Mejia‐Guerrero and has published in prestigious journals such as Nature Communications, The Journal of Cell Biology and PLoS ONE.

In The Last Decade

Ankit Sinha

33 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ankit Sinha Canada 18 768 322 234 194 177 33 1.4k
Yuebing Wang China 21 828 1.1× 294 0.9× 91 0.4× 426 2.2× 46 0.3× 92 1.8k
Hong Ji China 18 492 0.6× 92 0.3× 167 0.7× 109 0.6× 309 1.7× 60 1.1k
Lianjie Li China 27 765 1.0× 466 1.4× 120 0.5× 184 0.9× 42 0.2× 143 2.6k
Steven Robert McDougall United Kingdom 14 412 0.5× 165 0.5× 149 0.6× 316 1.6× 8 0.0× 35 1.4k
Mingkun Chen China 22 658 0.9× 275 0.9× 42 0.2× 220 1.1× 9 0.1× 94 1.5k
Benjamin B. Williams United States 30 288 0.4× 289 0.9× 29 0.1× 352 1.8× 94 0.5× 119 2.8k
Ann‐Charlotte Johansson Sweden 17 531 0.7× 159 0.5× 116 0.5× 81 0.4× 96 0.5× 29 1.4k
Minghui Wei China 18 683 0.9× 345 1.1× 34 0.1× 25 0.1× 17 0.1× 84 1.3k
Lishen Zhang China 15 663 0.9× 391 1.2× 51 0.2× 487 2.5× 195 1.1× 30 2.0k
Maria C. Johansson Sweden 22 652 0.8× 433 1.3× 33 0.1× 181 0.9× 45 0.3× 57 1.6k

Countries citing papers authored by Ankit Sinha

Since Specialization
Citations

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

Fields of papers citing papers by Ankit Sinha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ankit Sinha

This figure shows the co-authorship network connecting the top 25 collaborators of Ankit Sinha. A scholar is included among the top collaborators of Ankit Sinha 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 Ankit Sinha. Ankit Sinha 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.
Steigerwald, Sophia, Ankit Sinha, Kyle L. Fort, et al.. (2024). Full Mass Range ΦSDM Orbitrap Mass Spectrometry for DIA Proteome Analysis. Molecular & Cellular Proteomics. 23(2). 100713–100713. 3 indexed citations
2.
Bärthel, Stefanie, Chiara Falcomatà, Ankit Sinha, et al.. (2023). Cell-selective proteomics segregates pancreatic cancer subtypes by extracellular proteins in tumors and circulation. Nature Communications. 14(1). 2642–2642. 16 indexed citations
3.
Sinha, Ankit, Adarsh Kohli, Abhishek Ghosh, & Debasish Basu. (2022). Efficacy of screening and brief intervention for hazardous alcohol use in patients with mood disorders: A randomized clinical trial from a psychiatric out-patient clinic in India. Asian Journal of Psychiatry. 73. 103138–103138. 4 indexed citations
4.
Sinha, Ankit & Subho Chakrabarti. (2022). The Combination of Thought-Stopping And Exposure and Response Prevention in the Treatment of Predominant Obsessions: A Case Report. Cureus. 14(9). e29226–e29226. 1 indexed citations
5.
Sinha, Ankit, et al.. (2021). A Review and Case Study on Attacking and Security Tools at Application-Layer of IoT. Advances in intelligent systems and computing. 51–63. 4 indexed citations
6.
Sinha, Ankit, et al.. (2020). Dissecting intercellular signaling with mass spectrometry–based proteomics. Current Opinion in Cell Biology. 63. 20–30. 13 indexed citations
7.
Sinha, Ankit, Ali Hussain, Vladimir Ignatchenko, et al.. (2019). N-Glycoproteomics of Patient-Derived Xenografts: A Strategy to Discover Tumor-Associated Proteins in High-Grade Serous Ovarian Cancer. Cell Systems. 8(4). 345–351.e4. 26 indexed citations
8.
Sinha, Ankit, Farida Sarangi, Diane C. Saunders, et al.. (2017). Glycoprotein 2 is a specific cell surface marker of human pancreatic progenitors. Nature Communications. 8(1). 331–331. 103 indexed citations
9.
Yamashita, Yūki, Mark Anczurowski, Munehide Nakatsugawa, et al.. (2017). HLA-DP84Gly constitutively presents endogenous peptides generated by the class I antigen processing pathway. Nature Communications. 8(1). 15244–15244. 29 indexed citations
10.
Alfaro, Javier A., Alexandr Ignatchenko, Vladimir Ignatchenko, et al.. (2017). Detecting protein variants by mass spectrometry: a comprehensive study in cancer cell-lines. Genome Medicine. 9(1). 62–62. 37 indexed citations
11.
Sinha, Ankit, Simona Principe, Javier A. Alfaro, et al.. (2017). Proteomic Profiling of Secreted Proteins, Exosomes, and Microvesicles in Cell Culture Conditioned Media. Methods in molecular biology. 1722. 91–102. 14 indexed citations
12.
Garnier, Delphine, Brian Meehan, Thomas Kislinger, et al.. (2017). Divergent evolution of temozolomide resistance in glioblastoma stem cells is reflected in extracellular vesicles and coupled with radiosensitization. Neuro-Oncology. 20(2). 236–248. 107 indexed citations
13.
Jackson, Hartland W., Paul Waterhouse, Ankit Sinha, et al.. (2015). Expansion of stem cells counteracts age-related mammary regression in compound Timp1/Timp3 null mice. Nature Cell Biology. 17(3). 217–227. 22 indexed citations
14.
Sinha, Ankit, et al.. (2014). Proteomic Analysis of Human Fetal Atria and Ventricle. Journal of Proteome Research. 13(12). 5869–5878. 27 indexed citations
15.
Alfaro, Javier A., Ankit Sinha, Thomas Kislinger, & Paul C. Boutros. (2014). Onco-proteogenomics: cancer proteomics joins forces with genomics. Nature Methods. 11(11). 1107–1113. 98 indexed citations
16.
Sinha, Ankit, Vladimir Ignatchenko, Alexandr Ignatchenko, Salvador Mejia‐Guerrero, & Thomas Kislinger. (2014). In-depth proteomic analyses of ovarian cancer cell line exosomes reveals differential enrichment of functional categories compared to the NCI 60 proteome. Biochemical and Biophysical Research Communications. 445(4). 694–701. 103 indexed citations
17.
Ignatchenko, Vladimir, Alexandr Ignatchenko, Ankit Sinha, Paul C. Boutros, & Thomas Kislinger. (2014). VennDIS: A JavaFX‐based Venn and Euler diagram software to generate publication quality figures. PROTEOMICS. 15(7). 1239–1244. 29 indexed citations
18.
Principe, Simona, Angela Bik‐Yu Hui, Jeff Bruce, et al.. (2013). Tumor‐derived exosomes and microvesicles in head and neck cancer: Implications for tumor biology and biomarker discovery. PROTEOMICS. 13(10-11). 1608–1623. 95 indexed citations
19.
Sinha, Ankit, et al.. (2013). Solar cell parameters estimation from illuminated I-V characteristic using linear slope equations and Newton-Raphson technique. Journal of Renewable and Sustainable Energy. 5(3). 32 indexed citations
20.

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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