Punit Kaur

243 papers receiving 5.7k citations

Peers

Punit Kaur
Comparison fields: 5 of 145
  • Computational Theory and Mathematics 437
  • Molecular Biology 1.6k
  • Microbiology 161
  • Genetics 725
  • Molecular Medicine 155
Replace Jianguo Wu with:
Jianguo Wu China
Ying Zhang China
Kyu Young Rhee United States
Mark Brönstrup Germany
Richard M. Peek United States
Darren J. Creek Australia
Katja Becker Germany
Min Yao Japan
Xi Chen United States
Michael Peter Barrett United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Punit Kaur

Since Specialization
Citations

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

Fields of papers citing papers by Punit Kaur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 248 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011260
2 2007200
3 2014197
4 2016196
5 2012191
6 2008167
7 2001119
8 2013113
9 2013110
10 2020109
11 2011101
12 2010100
13 200298
14 200898
15 200993
16 202187
17 201077
18
Lactoperoxidase: structural insights into the function,ligand binding and inhibition.
201368
19 200565
20 200263

About Punit Kaur

Punit Kaur is a scholar working on Materials Chemistry, Computational Theory and Mathematics, Molecular Biology, Genetics and Cell Biology, having authored 248 papers that have together received 5.9k indexed citations. Recurring topics across this work include Enzyme Structure and Function (65 papers), Computational Drug Discovery Methods (32 papers), Protein Structure and Dynamics (30 papers), Venomous Animal Envenomation and Studies (23 papers), Heat shock proteins research (14 papers), Metal-Catalyzed Oxygenation Mechanisms (13 papers), Hemoglobin structure and function (10 papers) and Immune Response and Inflammation (9 papers). The work is most often cited by research in Computational Theory and Mathematics (437 citations), Molecular Biology (1.6k citations), Microbiology (161 citations), Genetics (725 citations) and Molecular Medicine (155 citations). Punit Kaur has collaborated with scholars based in India, United States and Germany. Frequent co-authors include Tej Pal Singh, Alexzander A. A. Asea, Sujata Sharma, Mau Sinha, Sujata Pandit Sharma, Abdul Samath Ethayathulla, Sanket Kaushik, N. Singh, Alagiri Srinivasan and Alexander George Panossian. Their work appears in journals such as International Journal of Biological Macromolecules, Journal of Biomolecular Structure and Dynamics, Journal of Biological Chemistry, PLoS ONE and Proteins Structure Function and Bioinformatics.

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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