Payal Chandak

2.2k citations
7 papers · 320 indexed · 2 hit papers · h-index 5
Topics
Pharmacovigilance and Adverse Drug Reactions (3 papers)Academic integrity and plagiarism (2 papers)Computational Drug Discovery Methods (2 papers)
Partner nations
United StatesCanadaChina

In The Last Decade

Payal Chandak

6 papers receiving 312 citations

Hit Papers

Building a knowledge graph to enable precision medicine20232026202420252023202450100150

Peers

Payal Chandak
Comparison fields: 5 of 88
  • Molecular Biology 155
  • Artificial Intelligence 128
  • Computational Theory and Mathematics 96
  • Health Information Management 19
  • Health Informatics 18
Replace Sameh K. Mohamed with:
Sameh K. Mohamed Ireland
Anna O. Basile United States
Liang‐Chin Huang United States
Kai Hakala Finland
Eithon Cadag United States
Yassine Mrabet United States
María Herrero-Zazo United Kingdom
Christine Hessler United States
Xianglu Xiao China
Abhyuday Jagannatha United States
Payal Chandak relative to Sameh K. Mohamed Ireland Sameh K. Mohamed's profile →
Citations per field
00.5×4.3×
Sameh K. Mohamed · 1×
Citations per year

Countries citing papers authored by Payal Chandak

Since Specialization
Citations

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

Fields of papers citing papers by Payal Chandak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Payal Chandak

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

All Works

About Payal Chandak

Payal Chandak is a scholar working on Toxicology, Geriatrics and Gerontology and Safety Research, having authored 7 papers that have together received 320 indexed citations. Recurring topics across this work include Pharmacovigilance and Adverse Drug Reactions (3 papers), Academic integrity and plagiarism (2 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Health Informatics (18 citations), Computational Theory and Mathematics (96 citations) and Health Information Management (19 citations). Payal Chandak has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Marinka Žitnik, Kexin Huang, Qianwen Wang, Nils Gehlenborg, Nicholas P. Tatonetti, Jure Leskovec, Akhil Vaid, Benjamin S. Glicksberg, Girish N. Nadkarni and Jiajun Bu. Their work appears in journals such as Nature Medicine, Advanced Science and IEEE Transactions on Visualization and Computer Graphics.

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

Rankless by CCL
2026