Suyog Shaha

458 total citations · 1 hit paper
7 papers, 302 citations indexed

About

Suyog Shaha is a scholar working on Oncology, Molecular Biology and Biomaterials. According to data from OpenAlex, Suyog Shaha has authored 7 papers receiving a total of 302 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Oncology, 3 papers in Molecular Biology and 3 papers in Biomaterials. Recurrent topics in Suyog Shaha's work include Nanoparticle-Based Drug Delivery (3 papers), Innovative Microfluidic and Catalytic Techniques Innovation (1 paper) and Biomedical Ethics and Regulation (1 paper). Suyog Shaha is often cited by papers focused on Nanoparticle-Based Drug Delivery (3 papers), Innovative Microfluidic and Catalytic Techniques Innovation (1 paper) and Biomedical Ethics and Regulation (1 paper). Suyog Shaha collaborates with scholars based in United States, Japan and France. Suyog Shaha's co-authors include Samir Mitragotri, Danika Rodrigues, Liwen Wang, Mayumi Ikeda, Zongmin Zhao, Kyong Soo Park, Yongsheng Gao, Mayuka Nakajima, Ninad Kumbhojkar and Tatsuya Fukuta and has published in prestigious journals such as Journal of Controlled Release, Bioengineering & Translational Medicine and PNAS Nexus.

In The Last Decade

Suyog Shaha

6 papers receiving 301 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Strategies to improve the EPR effect: A mechanistic perspective and clinical translation

2022 217 citations Mayumi Ikeda, Liwen Wang et al. Journal of Controlled Release profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Suyog Shaha United States	5	167	128	103	41	40	7	302
Shunzhe Zheng China	11	187 1.1×	110 0.9×	129 1.3×	47 1.1×	50 1.3×	15	312
Shi Du China	5	204 1.2×	154 1.2×	116 1.1×	35 0.9×	45 1.1×	7	307
Thibaut Fourniols Belgium	5	148 0.9×	139 1.1×	110 1.1×	46 1.1×	18 0.5×	7	314
Molly McNally United States	8	200 1.2×	146 1.1×	92 0.9×	42 1.0×	45 1.1×	15	327
Amanda W. Keeler United States	7	128 0.8×	156 1.2×	89 0.9×	45 1.1×	28 0.7×	8	273
Indra Van Zundert Belgium	7	142 0.9×	106 0.8×	107 1.0×	40 1.0×	40 1.0×	10	293
Chandra Kumar Elechalawar United States	11	156 0.9×	154 1.2×	159 1.5×	50 1.2×	61 1.5×	12	376
Fangbo Cui China	7	145 0.9×	175 1.4×	161 1.6×	46 1.1×	42 1.1×	10	359
Ryan Chan United States	8	140 0.8×	123 1.0×	115 1.1×	78 1.9×	32 0.8×	12	309

Countries citing papers authored by Suyog Shaha

Since Specialization

Citations

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

Fields of papers citing papers by Suyog Shaha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suyog Shaha

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Acharya, Subrat Kumar, et al.. (2025). Stem cell therapies in the clinic. Bioengineering & Translational Medicine. 10(3). e70000–e70000. 3 indexed citations

2.

Fukuta, Tatsuya, Suyog Shaha, Andrés da Silva‐Candal, Zongmin Zhao, & Samir Mitragotri. (2025). Cell therapies against brain tumors: Clinical development and emerging prospects. Bioengineering & Translational Medicine. 10(5). e70018–e70018.

3.

Shaha, Suyog, Danika Rodrigues, & Samir Mitragotri. (2024). Locoregional drug delivery for cancer therapy: Preclinical progress and clinical translation. Journal of Controlled Release. 367. 737–767. 39 indexed citations

4.

Fukuta, Tatsuya, Ninad Kumbhojkar, Supriya Prakash, et al.. (2024). Immunotherapy against glioblastoma using backpack‐activated neutrophils. Bioengineering & Translational Medicine. 10(1). e10712–e10712. 7 indexed citations

5.

Suja, Vineeth Chandran, Qin M. Qi, Kevin T. Halloran, et al.. (2023). A biomimetic chip to assess subcutaneous bioavailability of monoclonal antibodies in humans. PNAS Nexus. 2(10). pgad317–pgad317. 5 indexed citations

6.

Ikeda, Mayumi, Liwen Wang, Danika Rodrigues, et al.. (2022). Strategies to improve the EPR effect: A mechanistic perspective and clinical translation. Journal of Controlled Release. 345. 512–536. 217 indexed citations breakdown →

7.

Ikeda, Mayumi, Yongsheng Gao, Suyog Shaha, et al.. (2022). Extracellular matrix degrading enzyme with stroma-targeting peptides enhance the penetration of liposomes into tumors. Journal of Controlled Release. 352. 1093–1103. 31 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.

Explore authors with similar magnitude of impact