Mamta Rai

993 total citations
26 papers, 528 citations indexed

About

Mamta Rai is a scholar working on Molecular Biology, Cell Biology and Physiology. According to data from OpenAlex, Mamta Rai has authored 26 papers receiving a total of 528 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 6 papers in Cell Biology and 6 papers in Physiology. Recurrent topics in Mamta Rai's work include Muscle Physiology and Disorders (6 papers), Ubiquitin and proteasome pathways (5 papers) and Mitochondrial Function and Pathology (4 papers). Mamta Rai is often cited by papers focused on Muscle Physiology and Disorders (6 papers), Ubiquitin and proteasome pathways (5 papers) and Mitochondrial Function and Pathology (4 papers). Mamta Rai collaborates with scholars based in India, United States and Australia. Mamta Rai's co-authors include Fabio Demontis, Upendra Nongthomba, Divya Singh, Madan Pal Singh, Miranda D. Grounds, Prasanna Katti, Anjana Nityanandam, Jianqin Jiao, Yong‐Dong Wang and Shreya Sharma and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Cell Metabolism.

In The Last Decade

Mamta Rai

24 papers receiving 514 citations

Peers

Mamta Rai
Comparison fields: 5 of 82
  • Molecular Biology 268
  • Physiology 139
  • Plant Science 116
  • Cellular and Molecular Neuroscience 62
  • Epidemiology 60
Replace Kat Folz‐Donahue with:
Kat Folz‐Donahue Germany
Rachita Yadav United States
Ditte Neess Denmark
Miki Yoshida Japan
Edward K. Mandell United States
Élise Dargelos France
Kisang Kwon South Korea
Jiaxing Li China
Mary Anne Royal United States
Gencer Sancar Germany
Kat Folz‐Donahue Germany View profile →
Citations per field, relative to Mamta Rai
Mamta Rai · 1×
Citations per year, relative to Mamta Rai
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Countries citing papers authored by Mamta Rai

Since Specialization
Citations

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

Fields of papers citing papers by Mamta Rai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mamta Rai

This figure shows the co-authorship network connecting the top 25 collaborators of Mamta Rai. A scholar is included among the top collaborators of Mamta Rai 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 Mamta Rai. Mamta Rai 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 4
2 0
3 4
4 18
5 51
6 10
7 24
8 58
9 3
10 1
11 1
12 4
13 83
14 45
15 15
16
Aspergillus niger, a potential biocontrol agent for controlling fusarial wilt of tomato.
2
17 51
18 35
19 3
20
Gene pyramiding and horizontal resistance to diara stress in mustards.
7

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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