Shantanu Sur

2.2k total citations
47 papers, 1.7k citations indexed

About

Shantanu Sur is a scholar working on Molecular Biology, Biomaterials and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Shantanu Sur has authored 47 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 18 papers in Biomaterials and 6 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Shantanu Sur's work include Supramolecular Self-Assembly in Materials (17 papers), RNA Interference and Gene Delivery (13 papers) and Chemical Synthesis and Analysis (4 papers). Shantanu Sur is often cited by papers focused on Supramolecular Self-Assembly in Materials (17 papers), RNA Interference and Gene Delivery (13 papers) and Chemical Synthesis and Analysis (4 papers). Shantanu Sur collaborates with scholars based in United States, India and Japan. Shantanu Sur's co-authors include Samuel I. Stupp, Christina J. Newcomb, Job Boekhoven, Sungsoo S. Lee, John B. Matson, Charles M. Rubert Pérez, Nicholas Stephanopoulos, Matthew J. Webber, John A. Kessler and Brian J. Huang and has published in prestigious journals such as Journal of Biological Chemistry, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Shantanu Sur

47 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shantanu Sur United States 20 937 738 425 342 135 47 1.7k
Yusuke Nagai Japan 18 833 0.9× 778 1.1× 254 0.6× 338 1.0× 115 0.9× 31 1.6k
Tessa Lühmann Germany 30 531 0.6× 806 1.1× 621 1.5× 415 1.2× 185 1.4× 86 2.2k
Iris Mironi‐Harpaz Israel 17 788 0.8× 614 0.8× 557 1.3× 359 1.0× 311 2.3× 28 1.7k
Jeong Hyun Seo South Korea 23 385 0.4× 696 0.9× 553 1.3× 183 0.5× 286 2.1× 106 1.9k
Congqi Yan United States 6 835 0.9× 392 0.5× 283 0.7× 278 0.8× 127 0.9× 7 1.2k
Miguel A. Mateos‐Timoneda Spain 24 926 1.0× 716 1.0× 1.2k 2.8× 556 1.6× 378 2.8× 60 2.7k
Priyesh Jain United States 25 667 0.7× 640 0.9× 917 2.2× 223 0.7× 214 1.6× 42 2.5k
Oliver Germershaus Germany 24 827 0.9× 1.1k 1.4× 448 1.1× 127 0.4× 105 0.8× 43 2.1k
Beom Jin Kim South Korea 23 500 0.5× 486 0.7× 542 1.3× 312 0.9× 370 2.7× 63 1.7k
Xiaoqiu Dou China 25 1.3k 1.4× 546 0.7× 638 1.5× 777 2.3× 596 4.4× 76 2.3k

Countries citing papers authored by Shantanu Sur

Since Specialization
Citations

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

Fields of papers citing papers by Shantanu Sur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shantanu Sur

This figure shows the co-authorship network connecting the top 25 collaborators of Shantanu Sur. A scholar is included among the top collaborators of Shantanu Sur 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 Shantanu Sur. Shantanu Sur 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.
Vasireddy, Deepa, et al.. (2023). Factors Affecting Human Papillomavirus Vaccine Trends in the United States of America. Cureus. 15(7). e42617–e42617. 1 indexed citations
2.
Kumar, Vijay, et al.. (2023). Spectral analysis approach for assessing the accuracy of low-cost air quality sensor network data. Atmospheric measurement techniques. 16(21). 5415–5427. 4 indexed citations
3.
Pal, Nabendu, et al.. (2023). A stronger association of depression with rheumatoid arthritis in presence of obesity and hypertriglyceridemia. SHILAP Revista de lepidopterología. 3. 1216497–1216497. 4 indexed citations
4.
Kumar, Vijay, et al.. (2023). Utilizing logistic regression to compare risk factors in disease modeling with imbalanced data: a case study in vitamin D and cancer incidence. Frontiers in Oncology. 13. 1227842–1227842. 2 indexed citations
5.
Roy, Urmi, et al.. (2023). Implications of SARS-CoV-2 spike protein interactions with Zn-bound form of ACE2: a computational structural study. BioMetals. 36(4). 903–912. 2 indexed citations
6.
7.
Woodworth, Craig D., et al.. (2022). Ivermectin-induced cell death of cervical cancer cells in vitro a consequence of precipitate formation in culture media. Toxicology and Applied Pharmacology. 449. 116073–116073. 1 indexed citations
8.
Kumar, Vijay, et al.. (2022). COVID-19 in the U.S. during pre-vaccination period: Shifting impact of sociodemographic factors and air pollution. PubMed. 2. 927189–927189. 2 indexed citations
9.
Mondal, Sumona, et al.. (2021). Prevalence of Common Comorbidities in Rheumatoid Arthritis in Rural New York Compared With National Data. Cureus. 13(11). e19432–e19432. 1 indexed citations
10.
Mondal, Sumona, et al.. (2021). COVID-19 in New York state: Effects of demographics and air quality on infection and fatality. The Science of The Total Environment. 807(Pt 1). 150536–150536. 11 indexed citations
11.
Woodworth, Craig D., et al.. (2020). KCa3.1-dependent uptake of the cytotoxic DNA-binding dye Hoechst 33258 into cancerous but not healthy cervical cells. Journal of Biological Chemistry. 296. 100084–100084. 6 indexed citations
12.
Boolani, Ali, Shantanu Sur, Yang Da, et al.. (2019). Six Minutes of Physical Activity Improves Mood in Older Adults: A Pilot Study. Journal of Geriatric Physical Therapy. 44(1). 18–24. 13 indexed citations
13.
Zha, R. Helen, Shantanu Sur, Job Boekhoven, et al.. (2014). Supramolecular assembly of multifunctional maspin-mimetic nanostructures as a potent peptide-based angiogenesis inhibitor. Acta Biomaterialia. 12. 1–10. 26 indexed citations
14.
Pérez, Charles M. Rubert, Nicholas Stephanopoulos, Shantanu Sur, et al.. (2014). The Powerful Functions of Peptide-Based Bioactive Matrices for Regenerative Medicine. Annals of Biomedical Engineering. 43(3). 501–514. 110 indexed citations
15.
Newcomb, Christina J., Shantanu Sur, Julia H. Ortony, et al.. (2014). Cell death versus cell survival instructed by supramolecular cohesion of nanostructures. Nature Communications. 5(1). 3321–3321. 144 indexed citations
16.
Boekhoven, Job, Charles M. Rubert Pérez, Shantanu Sur, Amanda D. Worthy, & Samuel I. Stupp. (2013). Dynamic Display of Bioactivity through Host–Guest Chemistry. Angewandte Chemie International Edition. 52(46). 12077–12080. 115 indexed citations
17.
Sur, Shantanu, Christina J. Newcomb, Matthew J. Webber, & Samuel I. Stupp. (2013). Tuning supramolecular mechanics to guide neuron development. Biomaterials. 34(20). 4749–4757. 86 indexed citations
18.
Khan, Saahir, et al.. (2012). Self-assembling glucagon-like peptide 1-mimetic peptide amphiphiles for enhanced activity and proliferation of insulin-secreting cells. Acta Biomaterialia. 8(5). 1685–1692. 28 indexed citations
19.
Zha, R. Helen, Shantanu Sur, & Samuel I. Stupp. (2012). Self‐assembly of Cytotoxic Peptide Amphiphiles into Supramolecular Membranes for Cancer Therapy. Advanced Healthcare Materials. 2(1). 126–133. 53 indexed citations
20.
Lee, Sungsoo S., Brian J. Huang, Shantanu Sur, et al.. (2012). Bone regeneration with low dose BMP-2 amplified by biomimetic supramolecular nanofibers within collagen scaffolds. Biomaterials. 34(2). 452–459. 221 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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