Tanmay Mathur

465 citations
27 papers · 310 · h-index 10

Impact in

    • 3D Printing in Biomedical Research
    • Innovative Microfluidic and Catalytic Techniques Innovation
    • Microfluidic and Bio-sensing Technologies
    • Cancer Cells and Metastasis
    • Inflammatory Biomarkers in Disease Prognosis

Papers in

Tanmay Mathur

25 papers receiving 306 citations

Peers

Tanmay Mathur
Comparison fields: 5 of 64
  • Biomedical Engineering 163
  • Oncology 89
  • Automotive Engineering 27
  • Hematology 25
  • Energy Engineering and Power Technology 6
Replace Xiaoying Wang with:
Xiaoying Wang China
David J. Olivos United States
Mark Scott Australia
Giuseppe Tarantino Italy
Jeongyun Seo United States
Laura Caliogna Italy
Xi Cheng China
Zhao Da United States
Kyuhwan Na South Korea
Shyama Sasikumar India
Tanmay Mathur relative to Xiaoying Wang China Xiaoying Wang's profile →
Citations per field
00.5×
Xiaoying Wang · 1×
Citations per year

Countries citing papers authored by Tanmay Mathur

Since Specialization
Citations

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

Fields of papers citing papers by Tanmay Mathur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Tanmay Mathur, 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 Tanmay Mathur Line = papers co-authored together Tanmay Mathur links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202162
2 201962
3 202047
4 202019
5 202316
6 202216
7 202315
8 202112
9 202112
10 202010
11 20248
12 20196
13 20253
14 20163
15 20153
16 20243
17 20222
18 20182
19 20222
20 20192

About Tanmay Mathur

Tanmay Mathur is a scholar working on Biomedical Engineering, Molecular Biology, Mechanical Engineering, Automotive Engineering and Control and Systems Engineering, having authored 27 papers that have together received 310 indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (9 papers), Angiogenesis and VEGF in Cancer (7 papers), Gear and Bearing Dynamics Analysis (5 papers), Single-cell and spatial transcriptomics (3 papers), Mechanical Engineering and Vibrations Research (3 papers), Platelet Disorders and Treatments (3 papers), Tribology and Lubrication Engineering (3 papers) and Pancreatic function and diabetes (2 papers). The work is most often cited by research in Biomedical Engineering (163 citations), Oncology (89 citations), Automotive Engineering (27 citations), Hematology (25 citations) and Energy Engineering and Power Technology (6 citations). Tanmay Mathur has collaborated with scholars based in United States, India and France. Frequent co-authors include Abhishek Jain, Akhilesh K. Gaharwar, Jonathan M. Flanagan, Vahid Afshar‐Kharghan, Navaneeth Krishna Rajeeva Pandian, Kanwar Abhay Singh, Shu‐Huai Tsai, Travis W. Hein, Anil K. Sood and Anil K. Sood. Their work appears in journals such as Lab on a Chip, Current Protocols, Bioengineering & Translational Medicine, PLoS ONE and Bioprinting.

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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