Jayesh Bellare

1.9k total citations
53 papers, 1.6k citations indexed

About

Jayesh Bellare is a scholar working on Biomedical Engineering, Water Science and Technology and Biomaterials. According to data from OpenAlex, Jayesh Bellare has authored 53 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Biomedical Engineering, 24 papers in Water Science and Technology and 13 papers in Biomaterials. Recurrent topics in Jayesh Bellare's work include Membrane Separation Technologies (22 papers), Electrospun Nanofibers in Biomedical Applications (11 papers) and Bone Tissue Engineering Materials (10 papers). Jayesh Bellare is often cited by papers focused on Membrane Separation Technologies (22 papers), Electrospun Nanofibers in Biomedical Applications (11 papers) and Bone Tissue Engineering Materials (10 papers). Jayesh Bellare collaborates with scholars based in India, United States and Australia. Jayesh Bellare's co-authors include Akshay Modi, Surendra Kumar Verma, Amit Kumar Jaiswal, Vivek Soni, Akkihebbal K. Suresh, Huanting Wang, Sachin Kadam, Jianfeng Yao, Zhouyou Wang and Qi Liu and has published in prestigious journals such as PLoS ONE, Langmuir and Chemical Engineering Journal.

In The Last Decade

Jayesh Bellare

52 papers receiving 1.5k citations

Peers

Jayesh Bellare
Comparison fields: 5 of 123
  • Biomedical Engineering 645
  • Water Science and Technology 524
  • Materials Chemistry 405
  • Biomaterials 309
  • Surgery 243
Yadong Wu China
Dandan Shao China
Yuanting Xu China
Min Xing China
U.T. Uthappa South Korea
Fei-Yee Yeoh Malaysia
Junyu Chen China
Xin Song China
Ye Yang China
Shengqiang Nie China
Yadong Wu China View profile →
Citations per field, relative to Jayesh Bellare
Jayesh Bellare · 1×
Citations per year, relative to Jayesh Bellare
Jayesh Bellare · 1×

Countries citing papers authored by Jayesh Bellare

Since Specialization
Citations

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

Fields of papers citing papers by Jayesh Bellare

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jayesh Bellare

This figure shows the co-authorship network connecting the top 25 collaborators of Jayesh Bellare. A scholar is included among the top collaborators of Jayesh Bellare 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 Jayesh Bellare. Jayesh Bellare 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
# Work Indexed citations
1 0
2 3
3 1
4 4
5 4
6 23
7 21
8 16
9 49
10 14
11 45
12 39
13 48
14 2
15 114
16 10
17 39
18 21
19 15
20 5

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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