Shraddha Thakkar

2.5k total citations · 1 hit paper
43 papers, 1.3k citations indexed

About

Shraddha Thakkar is a scholar working on Molecular Biology, Computational Theory and Mathematics and Pharmacology. According to data from OpenAlex, Shraddha Thakkar has authored 43 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 13 papers in Computational Theory and Mathematics and 10 papers in Pharmacology. Recurrent topics in Shraddha Thakkar's work include Computational Drug Discovery Methods (13 papers), Pharmacogenetics and Drug Metabolism (8 papers) and Drug-Induced Hepatotoxicity and Protection (7 papers). Shraddha Thakkar is often cited by papers focused on Computational Drug Discovery Methods (13 papers), Pharmacogenetics and Drug Metabolism (8 papers) and Drug-Induced Hepatotoxicity and Protection (7 papers). Shraddha Thakkar collaborates with scholars based in United States, United Kingdom and Netherlands. Shraddha Thakkar's co-authors include Weida Tong, Minjun Chen, Ruth Roberts, Ke Yu, Ayako Suzuki, Ting Li, Leihong Wu, Huixiao Hong, Zhichao Liu and Joshua Xu and has published in prestigious journals such as Nature Biotechnology, Biomaterials and Scientific Reports.

In The Last Decade

Shraddha Thakkar

42 papers receiving 1.3k 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.

DILIrank: the largest reference drug list ranked by the risk for developing drug-induced liver injury in humans

2016 267 citations Minjun Chen, Ayako Suzuki et al. Drug Discovery Today profile →

Peers

Shraddha Thakkar

CTM

PHARM

BIOMA

SURGE

Onat Kadioglu Germany

Liang‐Shang Gan United States

Partha Biswas Bangladesh

Aizong Shen China

Chi‐Yuan Wu United States

Jie Hou China

B. Kevin Park United Kingdom

Jonathan Cheong United States

Qiu Sun China

Rakesh Rawal India

Onat Kadioglu Germany

Shraddha Thakkar

216 ×0.5

CTM

209 ×0.5

PHARM

1.1k ×3.0

85 ×0.8

BIOMA

64 ×0.6

SURGE

Citations per year, relative to Shraddha Thakkar Shraddha Thakkar (= 1×) peers Onat Kadioglu

Countries citing papers authored by Shraddha Thakkar

Since Specialization

Citations

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

Fields of papers citing papers by Shraddha Thakkar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shraddha Thakkar

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

All Works

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20 of 20 papers shown

Chen, Minjun, Yue Wu, Byron A. Wingerd, et al.. (2024). Automatic text classification of drug-induced liver injury using document-term matrix and XGBoost. Frontiers in Artificial Intelligence. 7. 1401810–1401810. 3 indexed citations

Krager, Kimberly J., Shraddha Thakkar, Darin E. Jones, et al.. (2023). Tocotrienols Provide Radioprotection to Multiple Organ Systems through Complementary Mechanisms of Antioxidant and Signaling Effects. Antioxidants. 12(11). 1987–1987. 5 indexed citations

Li, Ting, Zhichao Liu, Shraddha Thakkar, Ruth Roberts, & Weida Tong. (2023). DeepAmes: A deep learning-powered Ames test predictive model with potential for regulatory application. Regulatory Toxicology and Pharmacology. 144. 105486–105486. 12 indexed citations

Li, Ting, et al.. (2022). Adaptability of AI for safety evaluation in regulatory science: A case study of drug-induced liver injury. Frontiers in Artificial Intelligence. 5. 1034631–1034631. 10 indexed citations

Li, Ting, Weida Tong, Ruth Roberts, Zhichao Liu, & Shraddha Thakkar. (2021). DeepCarc: Deep Learning-Powered Carcinogenicity Prediction Using Model-Level Representation. Frontiers in Artificial Intelligence. 4. 757780–757780. 39 indexed citations

Talacua, Hanna, Serge H. M. Söntjens, Shraddha Thakkar, et al.. (2020). Imaging the In Vivo Degradation of Tissue Engineering Implants by Use of Supramolecular Radiopaque Biomaterials. Macromolecular Bioscience. 20(7). e2000024–e2000024. 12 indexed citations

Rathman, James F., Chihae Yang, Aleksandra Mostrąg, et al.. (2020). Development of a Battery of In Silico Prediction Tools for Drug-Induced Liver Injury from the Vantage Point of Translational Safety Assessment. Chemical Research in Toxicology. 34(2). 601–615. 10 indexed citations

Ingle, Taylor, Catherine Li, Zhichao Liu, et al.. (2020). Study of pharmacogenomic information in FDA-approved drug labeling to facilitate application of precision medicine. Drug Discovery Today. 25(5). 813–820. 27 indexed citations

Thakkar, Shraddha, Elke Anklam, Alexander M. Xu, et al.. (2020). Regulatory landscape of dietary supplements and herbal medicines from a global perspective. Regulatory Toxicology and Pharmacology. 114. 104647–104647. 152 indexed citations

10.

Fang, Hong, Stephen Harris, Zhichao Liu, et al.. (2020). FDALabel for drug repurposing studies and beyond. Nature Biotechnology. 38(12). 1378–1379. 16 indexed citations

11.

Li, Ting, Weida Tong, Ruth Roberts, Zhichao Liu, & Shraddha Thakkar. (2020). Deep Learning on High-Throughput Transcriptomics to Predict Drug-Induced Liver Injury. Frontiers in Bioengineering and Biotechnology. 8. 562677–562677. 32 indexed citations

12.

Thakkar, Shraddha, et al.. (2018). Dual Electrospun Supramolecular Polymer Systems for Selective Cell Migration. Macromolecular Bioscience. 18(7). e1800004–e1800004. 3 indexed citations

13.

Hong, Huixiao, Shraddha Thakkar, Minjun Chen, & Weida Tong. (2017). Development of Decision Forest Models for Prediction of Drug-Induced Liver Injury in Humans Using A Large Set of FDA-approved Drugs. Scientific Reports. 7(1). 17311–17311. 69 indexed citations

14.

Chen, Minjun, et al.. (2016). DILIrank: the largest reference drug list ranked by the risk for developing drug-induced liver injury in humans. Drug Discovery Today. 21(4). 648–653. 267 indexed citations breakdown →

15.

Almen, Geert C. van, Hanna Talacua, Joost O. Fledderus, et al.. (2015). Early in-situ cellularization of a supramolecular vascular graft is modified by synthetic stromal cell-derived factor-1α derived peptides. Biomaterials. 76. 187–195. 82 indexed citations

16.

Thakkar, Shraddha, Hugo Fernandes, & Lorenzo Moroni. (2015). Decellularized Extracellular Matrix Scaffolds for Cartilage Regeneration. Methods in molecular biology. 1340. 133–151. 13 indexed citations

17.

Penthala, Narsimha Reddy, Shraddha Thakkar, & Peter A. Crooks. (2015). Heteroaromatic analogs of the resveratrol analog DMU-212 as potent anti-cancer agents. Bioorganic & Medicinal Chemistry Letters. 25(14). 2763–2767. 16 indexed citations

18.

Thakkar, Shraddha, Xianwei Wang, Magomed Khaidakov, et al.. (2015). Structure-based Design Targeted at LOX-1, a Receptor for Oxidized Low-Density Lipoprotein. Scientific Reports. 5(1). 16740–16740. 43 indexed citations

19.

Thakkar, Shraddha, et al.. (2015). A Nanotechnology-Based Platform for Extending the Pharmacokinetic and Binding Properties of Anti-methamphetamine Antibody Fragments. Scientific Reports. 5(1). 12060–12060. 10 indexed citations

20.

Thakkar, Shraddha, et al.. (2014). Affinity improvement of a therapeutic antibody to methamphetamine and amphetamine through structure-based antibody engineering. Scientific Reports. 4(1). 3673–3673. 19 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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