Maya Chatterjee

2.8k total citations
72 papers, 2.4k citations indexed

About

Maya Chatterjee is a scholar working on Materials Chemistry, Biomedical Engineering and Catalysis. According to data from OpenAlex, Maya Chatterjee has authored 72 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Materials Chemistry, 31 papers in Biomedical Engineering and 29 papers in Catalysis. Recurrent topics in Maya Chatterjee's work include Catalytic Processes in Materials Science (23 papers), Carbon dioxide utilization in catalysis (23 papers) and Mesoporous Materials and Catalysis (21 papers). Maya Chatterjee is often cited by papers focused on Catalytic Processes in Materials Science (23 papers), Carbon dioxide utilization in catalysis (23 papers) and Mesoporous Materials and Catalysis (21 papers). Maya Chatterjee collaborates with scholars based in Japan, United States and India. Maya Chatterjee's co-authors include Hajime Kawanami, Takayuki Ishizaka, Yutaka Ikushima, Toshishige M. Suzuki, Abhijit Chatterjee, Masahiro Sato, Toshirou Yokoyama, Masayuki Iguchi, Qiang Xü and Heng Zhong and has published in prestigious journals such as Chemistry of Materials, Chemical Communications and ACS Catalysis.

In The Last Decade

Maya Chatterjee

70 papers receiving 2.4k citations

Peers

Maya Chatterjee
Comparison fields: 5 of 65
  • Biomedical Engineering 1.2k
  • Materials Chemistry 981
  • Organic Chemistry 739
  • Inorganic Chemistry 662
  • Catalysis 657
Replace Yinxi Zhou with:
Yinxi Zhou China
Bingfeng Chen China
Takato Mitsudome Japan
Ankur Bordoloi India
Xinqiang Zhao China
Naoki Mimura Japan
Carsten Kreyenschulte Germany
Alberto J. Marchi Argentina
J.I. Di Cosimo Argentina
Yinxi Zhou China View profile →
Citations per field, relative to Maya Chatterjee
Maya Chatterjee · 1×
Citations per year, relative to Maya Chatterjee
Maya Chatterjee · 1×

Countries citing papers authored by Maya Chatterjee

Since Specialization
Citations

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

Fields of papers citing papers by Maya Chatterjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maya Chatterjee

This figure shows the co-authorship network connecting the top 25 collaborators of Maya Chatterjee. A scholar is included among the top collaborators of Maya Chatterjee 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 Maya Chatterjee. Maya Chatterjee 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 23
3 21
4 20
5 1
6 41
7 44
8 3
9 13
10 43
11 16
12 23
13 11
14 7
15 2
16 20
17 10
18 42
19 51
20 15

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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