Abhishek Jain

4.1k total citations · 1 hit paper
81 papers, 2.5k citations indexed

About

Abhishek Jain is a scholar working on Biomedical Engineering, Molecular Biology and Surgery. According to data from OpenAlex, Abhishek Jain has authored 81 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Biomedical Engineering, 19 papers in Molecular Biology and 18 papers in Surgery. Recurrent topics in Abhishek Jain's work include 3D Printing in Biomedical Research (24 papers), Innovative Microfluidic and Catalytic Techniques Innovation (10 papers) and Angiogenesis and VEGF in Cancer (9 papers). Abhishek Jain is often cited by papers focused on 3D Printing in Biomedical Research (24 papers), Innovative Microfluidic and Catalytic Techniques Innovation (10 papers) and Angiogenesis and VEGF in Cancer (9 papers). Abhishek Jain collaborates with scholars based in United States, India and Netherlands. Abhishek Jain's co-authors include Donald E. Ingber, Akhilesh K. Gaharwar, Andries D. van der Meer, Lance L. Munn, Navaneeth Krishna Rajeeva Pandian, Robert Flaumenhaft, Tanmay Mathur, Riccardo Barrile, Karli A. Gold and Amanda Graveline and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation and Nature Communications.

In The Last Decade

Abhishek Jain

74 papers receiving 2.4k citations

Hit Papers

Engineered In Vitro Disea... 2015 2026 2018 2022 2015 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Abhishek Jain United States 25 1.5k 506 381 372 290 81 2.5k
Andries D. van der Meer Netherlands 32 3.5k 2.4× 1.1k 2.1× 604 1.6× 479 1.3× 332 1.1× 78 4.8k
Ying Zheng United States 38 2.3k 1.6× 1.5k 3.0× 1.1k 2.9× 500 1.3× 327 1.1× 132 4.9k
Wolfgang Holnthoner Austria 28 897 0.6× 802 1.6× 506 1.3× 394 1.1× 88 0.3× 59 2.4k
Netanel Korin Israel 24 1.3k 0.9× 424 0.8× 219 0.6× 123 0.3× 350 1.2× 59 2.1k
Jessamine Winer‐Jones United States 10 682 0.5× 242 0.5× 302 0.8× 171 0.5× 190 0.7× 21 1.8k
Melissa A. Kacena United States 33 380 0.3× 1.1k 2.1× 414 1.1× 513 1.4× 192 0.7× 169 3.5k
Raquel M. Gonçalves Portugal 35 825 0.6× 1.2k 2.4× 845 2.2× 609 1.6× 209 0.7× 95 4.4k
Yun Xiao China 22 1.0k 0.7× 893 1.8× 788 2.1× 170 0.5× 46 0.2× 54 2.6k
Holger Weber Germany 18 335 0.2× 738 1.5× 288 0.8× 290 0.8× 107 0.4× 36 2.1k
Tetsuya Tomita Japan 40 551 0.4× 1.2k 2.3× 1.9k 4.9× 736 2.0× 168 0.6× 221 5.4k

Countries citing papers authored by Abhishek Jain

Since Specialization
Citations

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

Fields of papers citing papers by Abhishek Jain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abhishek Jain

This figure shows the co-authorship network connecting the top 25 collaborators of Abhishek Jain. A scholar is included among the top collaborators of Abhishek Jain 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 Jain. Abhishek Jain 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
2.
Jain, Abhishek, et al.. (2025). Cannabidiol from Conventional to Advanced Nanomedicines for the Management of Cancer-Associated Pain. CNS & Neurological Disorders - Drug Targets. 24(8). 610–635.
3.
Davis, Jonathan P., et al.. (2025). Transforming Growth Factors in Venous Thrombus Formation and Resolution. Arteriosclerosis Thrombosis and Vascular Biology. 45(5). 643–653. 1 indexed citations
5.
Pradhan, Geetali, Daniel Villarreal, Da Mi Kim, et al.. (2024). GHSR Deletion in β-Cells of Male Mice: Ineffective in Obesity, but Effective in Protecting against Streptozotocin-Induced β-Cell Injury in Aging. Nutrients. 16(10). 1464–1464. 1 indexed citations
6.
Jain, Abhishek, et al.. (2024). Biomembrane camouflaged nanoparticles: A paradigm shifts in targeted drug delivery system. Colloids and Surfaces B Biointerfaces. 238. 113893–113893. 11 indexed citations
7.
Das, Lopamudra, et al.. (2024). Angiogenesis‐Enabled Human Ovarian Tumor Microenvironment‐Chip Evaluates Pathophysiology of Platelets in Microcirculation. Advanced Healthcare Materials. 13(19). e2304263–e2304263. 8 indexed citations
9.
Jain, Abhishek, et al.. (2024). Newer Advancement in Immunomodulatory Therapy in Sepsis: A Comprehensive Review. Cureus. 16(3). e57309–e57309. 6 indexed citations
10.
Jain, Abhishek, et al.. (2024). Engineering Lymphangiogenesis‐On‐Chip: The Independent and Cooperative Regulation by Biochemical Factors, Gradients, and Interstitial Fluid Flow. Advanced Biology. 8(4). e2400031–e2400031. 6 indexed citations
11.
Deo, Kaivalya A., Aparna Murali, Hung Pang Lee, et al.. (2024). Granular Biphasic Colloidal Hydrogels for 3D Bioprinting. Advanced Healthcare Materials. 13(25). e2303810–e2303810. 21 indexed citations
12.
Jain, Abhishek, et al.. (2024). Comparative efficacy of raw and modified magnesite in the defluoridation of aqueous solutions. Desalination and Water Treatment. 321. 100913–100913. 2 indexed citations
13.
Mathur, Tanmay, et al.. (2023). Machine learning chained neural network analysis of oxygen transport amplifies the physiological relevance of vascularized microphysiological systems. Bioengineering & Translational Medicine. 8(6). e10582–e10582. 16 indexed citations
14.
Deo, Kaivalya A., Tanmay Mathur, Giriraj Lokhande, et al.. (2022). 2D Nanosilicate for additive manufacturing: Rheological modifier, sacrificial ink and support bath. Bioprinting. 25. e00187–e00187. 16 indexed citations
15.
Xin, Shangjing, Kaivalya A. Deo, Jing Dai, et al.. (2021). Generalizing hydrogel microparticles into a new class of bioinks for extrusion bioprinting. Science Advances. 7(42). eabk3087–eabk3087. 107 indexed citations
16.
Mathur, Tanmay, Giriraj Lokhande, Akhilesh K. Gaharwar, et al.. (2021). Human tumor microenvironment chip evaluates the consequences of platelet extravasation and combinatorial antitumor-antiplatelet therapy in ovarian cancer. Science Advances. 7(30). 62 indexed citations
17.
Papa, Anne‐Laure, Amanda Jiang, Netanel Korin, et al.. (2019). Platelet decoys inhibit thrombosis and prevent metastatic tumor formation in preclinical models. Science Translational Medicine. 11(479). 64 indexed citations
18.
Jain, Abhishek, et al.. (2016). Reduction of servicing and maintenance time of car — A future need. 1–6. 1 indexed citations
19.
Jain, Abhishek, Andries D. van der Meer, Anne‐Laure Papa, et al.. (2016). Assessment of whole blood thrombosis in a microfluidic device lined by fixed human endothelium. Biomedical Microdevices. 18(4). 73–73. 112 indexed citations
20.
Nirmalanandhan, Victor S., Jason T. Shearn, Natalia Juncosa‐Melvin, et al.. (2008). Improving Linear Stiffness of the Cell-Seeded Collagen Sponge Constructs by Varying the Components of the Mechanical Stimulus. Tissue Engineering Part A. 14(11). 1883–1891. 35 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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