Ankit Rai

1.4k citations
33 papers · 979 indexed · h-index 20

Ankit Rai

30 papers receiving 970 citations

Peers

Ankit Rai
Comparison fields: 5 of 90
  • Cell Biology 298
  • Spectroscopy 220
  • Molecular Biology 563
  • Aging 13
  • Organic Chemistry 195
Replace Takuji Shoda with:
Takuji Shoda Japan
Marko Marjanović Croatia
Cliff I. Stains United States
Dacheng He China
Nalin Pant India
Kevin Shreder United States
Deirdre A. Buckley Ireland
Carolyn C. Woodroofe United States
Richard Y.‐C. Huang United States
Grace Y. J. Chen Singapore
Ankit Rai relative to Takuji Shoda Japan Takuji Shoda's profile →
Citations per field
00.5×6.5×
Takuji Shoda · 1×
Citations per year

Countries citing papers authored by Ankit Rai

Since Specialization
Citations

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

Fields of papers citing papers by Ankit Rai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20240
3 20232
4 202119
5 20213
6 202120
7 202024
8 201930
9 20191
10 201942
11 201867
12 20183
13 201729
14 2017156
15
Comparative Study of Functional Outcome in Colles’ Fracture Treated Conservatively by Closed Reduction and Cast and Closed Reduction, Kirschner Wire and Cast
20161
16 201436
17
EXPRESSION OF HUMAN ERYTHROPOIETIN GENE IN HELA CELLS
20132
18 201344
19 201234
20 201233

About Ankit Rai

Ankit Rai is a scholar working on Cell Biology, Structural Biology, Bioengineering, Molecular Biology and Spectroscopy, having authored 33 papers that have together received 979 indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (17 papers), Ubiquitin and proteasome pathways (6 papers), Molecular Sensors and Ion Detection (4 papers), Photosynthetic Processes and Mechanisms (4 papers), Cancer therapeutics and mechanisms (4 papers), Luminescence and Fluorescent Materials (4 papers), 14-3-3 protein interactions (3 papers) and Analytical Chemistry and Sensors (2 papers). The work is most often cited by research in Cell Biology (298 citations), Spectroscopy (220 citations), Molecular Biology (563 citations), Aging (13 citations) and Organic Chemistry (195 citations). Ankit Rai has collaborated with scholars based in India, Netherlands and Switzerland. Frequent co-authors include Dulal Panda, Rakesh Pathak, Chebrolu P. Rao, Anna Akhmanova, Michel O. Steinmetz, Vijaya Kumar Hinge, Avadhesha Surolia, Eugene A. Katrukha, Lukas C. Kapitein and Harish C. Joshi. Their work appears in journals such as Biochemical Pharmacology, Analytical Chemistry, Molecular Cell, Inorganic Chemistry and eLife.

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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