Nimish Khanna

1.3k citations
9 papers · 887 indexed · 1 hit paper · h-index 6
Topics
Heat shock proteins research (3 papers)Chromosomal and Genetic Variations (2 papers)RNA Research and Splicing (2 papers)
Partner nations
United StatesChina

In The Last Decade

Nimish Khanna

9 papers receiving 877 citations

Hit Papers

Transcription upregulation via force-induced direct stret...20162026201920222016100200300400

Peers

Nimish Khanna
Comparison fields: 5 of 76
  • Molecular Biology 653
  • Cell Biology 338
  • Biomedical Engineering 94
  • Physiology 66
  • Plant Science 61
Replace Matthias Rübsam with:
Matthias Rübsam Germany
Ewa Zlotek-Zlotkiewicz France
Qiong Jia China
Wenwen Zhou China
Palma Rico-Lastres Spain
Nilay Taneja United States
Daniel F. Lusche United States
Rocky Diegmiller United States
Christian Baarlink Germany
Rishi Singh United States
Nimish Khanna relative to Matthias Rübsam Germany Matthias Rübsam's profile →
Citations per field
00.5×
Matthias Rübsam · 1×
Citations per year

Countries citing papers authored by Nimish Khanna

Since Specialization
Citations

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

Fields of papers citing papers by Nimish Khanna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nimish Khanna

This figure shows the co-authorship network connecting the top 25 collaborators of Nimish Khanna. A scholar is included among the top collaborators of Nimish Khanna 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 Nimish Khanna. Nimish Khanna is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
#WorkIndexed citations
1 1
2 76
3 79
4 67
5 1
6
Transcription upregulation via force-induced direct stretching of chromatinbreakdown →
469
7 113
8 3
9 78

About Nimish Khanna

Nimish Khanna is a scholar working on Statistics, Probability and Uncertainty, Cell Biology and Molecular Biology, having authored 9 papers that have together received 887 indexed citations. Recurring topics across this work include Heat shock proteins research (3 papers), Chromosomal and Genetic Variations (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Cell Biology (338 citations), Molecular Biology (653 citations) and Aging (10 citations). Nimish Khanna has collaborated with scholars based in United States and China. Frequent co-authors include Andrew S. Belmont, Wenwen Zhou, Qiong Jia, Rishi Singh, Jian Sun, Arash Tajik, Fuxiang Wei, Yuejin Zhang, Ning Wang and Yan Hu. Their work appears in journals such as Nature Communications, Nature Materials and The Journal of Cell Biology.

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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