Abhishek Vartak

458 total citations
10 papers, 352 citations indexed

About

Abhishek Vartak is a scholar working on Molecular Biology, Immunology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Abhishek Vartak has authored 10 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Immunology and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Abhishek Vartak's work include Glycosylation and Glycoproteins Research (6 papers), Immunotherapy and Immune Responses (5 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). Abhishek Vartak is often cited by papers focused on Glycosylation and Glycoproteins Research (6 papers), Immunotherapy and Immune Responses (5 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). Abhishek Vartak collaborates with scholars based in United States, France and Germany. Abhishek Vartak's co-authors include Steven J. Sucheck, Katherine A. Wall, Md Kamal Hossain, Pengju Nie, Yue‐Ming Li, Partha Karmakar, Marcia F. McInerney, Erin G. Prestwich, Boren Lin and Jianyang Du and has published in prestigious journals such as The Journal of Immunology, Molecules and Organic Letters.

In The Last Decade

Abhishek Vartak

10 papers receiving 346 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Abhishek Vartak United States 7 190 141 86 63 49 10 352
Gerd Lipowsky Latvia 8 171 0.9× 109 0.8× 92 1.1× 86 1.4× 67 1.4× 8 424
Xinwei Sher United States 8 260 1.4× 109 0.8× 149 1.7× 62 1.0× 48 1.0× 9 430
Carine Farenc Australia 11 208 1.1× 179 1.3× 54 0.6× 43 0.7× 64 1.3× 17 483
Géraldine Laumond France 14 155 0.8× 152 1.1× 156 1.8× 72 1.1× 59 1.2× 37 455
Stephen N. Hewitt United States 10 201 1.1× 50 0.4× 61 0.7× 85 1.3× 32 0.7× 20 426
Sebastian Rämisch Sweden 11 303 1.6× 67 0.5× 39 0.5× 108 1.7× 36 0.7× 14 474
Francisco J. Martinez-Becerra United States 11 107 0.6× 121 0.9× 245 2.8× 37 0.6× 34 0.7× 16 522
Emma Arigi United States 9 250 1.3× 86 0.6× 111 1.3× 163 2.6× 14 0.3× 10 447
Julio C. Hawkins United States 12 236 1.2× 146 1.0× 145 1.7× 72 1.1× 33 0.7× 14 461

Countries citing papers authored by Abhishek Vartak

Since Specialization
Citations

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

Fields of papers citing papers by Abhishek Vartak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abhishek Vartak

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

All Works

10 of 10 papers shown
2.
Nie, Pengju, Abhishek Vartak, & Yue‐Ming Li. (2020). γ-Secretase inhibitors and modulators: Mechanistic insights into the function and regulation of γ-Secretase. Seminars in Cell and Developmental Biology. 105. 43–53. 26 indexed citations
3.
Hossain, Md Kamal, Abhishek Vartak, Steven J. Sucheck, & Katherine A. Wall. (2020). Synthesis and Immunological Evaluation of a Single Molecular Construct MUC1 Vaccine Containing l-Rhamnose Repeating Units. Molecules. 25(14). 3137–3137. 5 indexed citations
4.
Hossain, Md Kamal, Abhishek Vartak, Steven J. Sucheck, & Katherine A. Wall. (2019). Liposomal Fc Domain Conjugated to a Cancer Vaccine Enhances Both Humoral and Cellular Immunity. ACS Omega. 4(3). 5204–5208. 16 indexed citations
5.
Vartak, Abhishek, Steven J. Sucheck, Katherine A. Wall, et al.. (2019). Development of a Bioconjugate Platform for Modifying the Immune Response of Autoreactive Cytotoxic T Lymphocytes Involved in Type 1 Diabetes. Bioconjugate Chemistry. 30(7). 2049–2059. 7 indexed citations
6.
Vartak, Abhishek, Christopher M. Goins, Vinicius Calado Nogueira de Moura, et al.. (2019). Biochemical and microbiological evaluation of N-aryl urea derivatives against mycobacteria and mycobacterial hydrolases. MedChemComm. 10(7). 1197–1204. 10 indexed citations
7.
Hossain, Md Kamal, Abhishek Vartak, Steven J. Sucheck, & Katherine A. Wall. (2018). Augmenting vaccine immunogenicity through the use of natural human anti-Rha antibodies and monoclonal Fc domains. The Journal of Immunology. 200(Supplement_1). 181.14–181.14. 1 indexed citations
8.
Hossain, Md Kamal, Abhishek Vartak, Partha Karmakar, Steven J. Sucheck, & Katherine A. Wall. (2018). Augmenting Vaccine Immunogenicity through the Use of Natural Human Anti-rhamnose Antibodies. ACS Chemical Biology. 13(8). 2130–2142. 38 indexed citations
10.
Vartak, Abhishek & Steven J. Sucheck. (2016). Recent Advances in Subunit Vaccine Carriers. Vaccines. 4(2). 12–12. 239 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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