Shalin Shah

732 citations
16 papers · 520 indexed · h-index 10
Topics
Advanced biosensing and bioanalysis techniques (10 papers)DNA and Biological Computing (7 papers)Biosensors and Analytical Detection (4 papers)
Partner nations
United StatesEgyptIndia

In The Last Decade

Shalin Shah

15 papers receiving 509 citations

Peers

Shalin Shah
Comparison fields: 5 of 51
  • Molecular Biology 470
  • Biomedical Engineering 173
  • Electrical and Electronic Engineering 66
  • Mechanical Engineering 38
  • Ecology 37
Replace Reem Mokhtar with:
Reem Mokhtar United States
Abeer Eshra Egypt
Sudhanshu Garg United States
Matthew R. Lakin United States
Adrien Padirac Japan
Christopher N. Takahashi United States
Gregory Linshiz Israel
Anthony J. Genot Japan
Zhiyu Wang China
Joseph Schaeffer United States
Shalin Shah relative to Reem Mokhtar United States Reem Mokhtar's profile →
Citations per field
00.5×1.5×
Reem Mokhtar · 1×
Citations per year

Countries citing papers authored by Shalin Shah

Since Specialization
Citations

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

Fields of papers citing papers by Shalin Shah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shalin Shah

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

All Works

16 of 16 papers shown
#WorkIndexed citations
1 1
2 5
3 10
4 24
5 5
6 22
7 50
8 28
9 186
10 8
11 16
12 110
13 9
14 43
15 2
16
Data Mining in Predicting Survival of Kidney Dialysis Patients - Invariant object approach
1

About Shalin Shah

Shalin Shah is a scholar working on Health Information Management, Molecular Biology and Surfaces, Coatings and Films, having authored 16 papers that have together received 520 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (10 papers), DNA and Biological Computing (7 papers) and Biosensors and Analytical Detection (4 papers). The work is most often cited by research in Molecular Biology (470 citations), Biomedical Engineering (173 citations) and Computational Theory and Mathematics (34 citations). Shalin Shah has collaborated with scholars based in United States, Egypt and India. Frequent co-authors include John H. Reif, Tianqi Song, Reem Mokhtar, Hieu Bui, Abeer Eshra, Daniel Fu, Sudhanshu Garg, Ming Yang, Abhishek Dubey and Aun Irtaza. Their work appears in journals such as Journal of the American Chemical Society, Nano Letters and ACS Nano.

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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