Shraddha Thakkar

2.5k citations
43 papers · 1.3k indexed · 1 hit paper · h-index 18
Topics
Computational Drug Discovery Methods (13 papers)Pharmacogenetics and Drug Metabolism (8 papers)Drug-Induced Hepatotoxicity and Protection (7 papers)

In The Last Decade

Shraddha Thakkar

42 papers receiving 1.3k citations

Hit Papers

DILIrank: the largest reference drug list ranked by the r...2016202620192022201650100150200250

Peers

Shraddha Thakkar
Comparison fields: 5 of 141
  • Computational Theory and Mathematics 423
  • Pharmacology 381
  • Molecular Biology 359
  • Biomaterials 112
  • Surgery 107
Replace B. Kevin Park with:
B. Kevin Park United Kingdom
Liang‐Shang Gan United States
William B. Mattes United States
Philip Hewitt Germany
Rajesh Krishna United States
Jinghai J. Xu United States
Onat Kadioglu Germany
Jianghong Fan United States
Dolores Diaz United States
Chi‐Yuan Wu United States
Shraddha Thakkar relative to B. Kevin Park United Kingdom B. Kevin Park's profile →
Citations per field
00.5×3.0×
B. Kevin Park · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 3
2 5
3 12
4 10
5 39
6 12
7 10
8 27
9 152
10 16
11 32
12 3
13 69
14
DILIrank: the largest reference drug list ranked by the risk for developing drug-induced liver injury in humansbreakdown →
267
15 82
16 13
17 16
18 43
19 10
20 19

About Shraddha Thakkar

Shraddha Thakkar is a scholar working on Toxicology, Pharmacology and Computational Theory and Mathematics, having authored 43 papers that have together received 1.3k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (13 papers), Pharmacogenetics and Drug Metabolism (8 papers) and Drug-Induced Hepatotoxicity and Protection (7 papers). The work is most often cited by research in Pharmacology (381 citations), Computational Theory and Mathematics (423 citations) and Toxicology (79 citations). Shraddha Thakkar has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Weida Tong, Minjun Chen, Ruth Roberts, Ke Yu, Ayako Suzuki, Ting Li, Leihong Wu, Huixiao Hong, Zhichao Liu and Joshua Xu. Their work appears in journals such as Nature Biotechnology, Biomaterials and Scientific Reports.

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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