Subarna Sinha

1.2k citations
32 papers · 675 · h-index 15

Impact in

Papers in

    • VLSI and FPGA Design Techniques 12
    • Advancements in Photolithography Techniques 11
    • 3D IC and TSV technologies 5
    • Integrated Circuits and Semiconductor Failure Analysis 4
    • Bioinformatics and Genomic Networks 4
    • Protein Degradation and Inhibitors 3

Subarna Sinha

29 papers receiving 653 citations

Peers

Subarna Sinha
Comparison fields: 5 of 67
  • Hardware and Architecture 129
  • Industrial and Manufacturing Engineering 95
  • Cancer Research 85
  • Electrical and Electronic Engineering 324
  • Media Technology 31
Replace Lutong Wang with:
Lutong Wang China
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Jianchao Wang China
Yu-Tai Chang United States
Mohamed Fawzy Egypt
Kun-Lin Tsai Taiwan
Deyu Chen China
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Citations per field
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Citations per year

Countries citing papers authored by Subarna Sinha

Since Specialization
Citations

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

Fields of papers citing papers by Subarna Sinha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Subarna Sinha, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Subarna Sinha Line = papers co-authored together Subarna Sinha links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202090
2 201989
3 201272
4 201771
5 200743
6 201437
7 200732
8 200732
9 200727
10 201225
11 200923
12 200923
13 201621
14 201020
15 201018
16 200613
17 20147
18 20087
19 20215
20 20253

About Subarna Sinha

Subarna Sinha is a scholar working on Electrical and Electronic Engineering, Molecular Biology, Hardware and Architecture, Computational Theory and Mathematics and Cancer Research, having authored 32 papers that have together received 675 indexed citations. Recurring topics across this work include VLSI and FPGA Design Techniques (12 papers), Advancements in Photolithography Techniques (11 papers), VLSI and Analog Circuit Testing (9 papers), 3D IC and TSV technologies (5 papers), Integrated Circuits and Semiconductor Failure Analysis (4 papers), Bioinformatics and Genomic Networks (4 papers), Cancer, Hypoxia, and Metabolism (4 papers) and Protein Degradation and Inhibitors (3 papers). The work is most often cited by research in Hardware and Architecture (129 citations), Industrial and Manufacturing Engineering (95 citations), Cancer Research (85 citations), Electrical and Electronic Engineering (324 citations) and Media Technology (31 citations). Subarna Sinha has collaborated with scholars based in United States, Switzerland and Taiwan. Frequent co-authors include Charles Chiang, Erinn B. Rankin, David L. Dill, Yen‐Ting Yu, Iris Hui-Ru Jiang, Jianfeng Luo, Andreas Veneris, Robert K. Brayton, Evangeline F. Y. Young and Linfu Xiao. Their work appears in journals such as Blood, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Nature Communications, Clinical Cancer Research and JCI Insight.

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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