Ankit Rai

1.4k citations
32 papers · 952 · h-index 19

Impact in

Papers in

    • Ubiquitin and proteasome pathways 5
    • Photosynthetic Processes and Mechanisms 4
    • Cancer therapeutics and mechanisms 4
    • 14-3-3 protein interactions 3
    • DNA Repair Mechanisms 2
    • Microtubule and mitosis dynamics 16

Ankit Rai

30 papers receiving 943 citations

Peers

Ankit Rai
Comparison fields: 5 of 87
  • Cell Biology 262
  • Spectroscopy 220
  • Molecular Biology 524
  • Aging 12
  • Organic Chemistry 192
Replace Takuji Shoda with:
Takuji Shoda Japan
Marko Marjanović Croatia
Cliff I. Stains United States
Nalin Pant India
Dacheng He China
Kimberly E. Beatty United States
Kevin Shreder United States
Carolyn C. Woodroofe United States
Richard Y.‐C. Huang United States
Partha Saha India
Ankit Rai relative to Takuji Shoda Japan Takuji Shoda's profile →
Citations per field
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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-authors

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

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017161
2 201287
3 201268
4 201868
5 201062
6 201157
7 201248
8 201345
9 201943
10 201437
11 201436
12 201234
13 201233
14 201931
15 201729
16 202027
17 202120
18 201720
19 202119
20 20259

About Ankit Rai

Ankit Rai is a scholar working on Molecular Biology, Cell Biology, Oncology, Materials Chemistry and Spectroscopy, having authored 32 papers that have together received 952 indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (16 papers), Ubiquitin and proteasome pathways (5 papers), Molecular Sensors and Ion Detection (4 papers), Photosynthetic Processes and Mechanisms (4 papers), Luminescence and Fluorescent Materials (4 papers), Cancer therapeutics and mechanisms (4 papers), 14-3-3 protein interactions (3 papers) and DNA Repair Mechanisms (2 papers). The work is most often cited by research in Cell Biology (262 citations), Spectroscopy (220 citations), Molecular Biology (524 citations), Aging (12 citations) and Organic Chemistry (192 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, A.E. Prota, Pradeep Kumar Naik and Harish C. Joshi. Their work appears in journals such as Biochemical Pharmacology, Molecular Cell, Analytical Chemistry, Inorganic Chemistry and Nature Communications.

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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