Nikit Patel

832 citations
9 papers · 459 · h-index 7

Impact in

  • Aging top 5%
    • Genetics, Aging, and Longevity in Model Organisms
  • Cell Biology top 10%
    • Endoplasmic Reticulum Stress and Disease

Papers in

Nikit Patel

8 papers receiving 457 citations

Peers

Nikit Patel
Comparison fields: 5 of 63
  • Aging 47
  • Cell Biology 114
  • Molecular Biology 419
  • Physical and Theoretical Chemistry 42
  • Biophysics 16
Replace Joanna Krakowiak with:
Joanna Krakowiak United States
Jayasankar Mohanakrishnan Kaimal Sweden
Rayees U.H. Mattoo Switzerland
Anna E. Masser Sweden
Tomáš Groušl Czechia
Marek A. Budzyński Finland
David Miklos United States
Siebe T. van Genesen Netherlands
Yashar Sadian Germany
Jayamani Anandhakumar United States
Nikit Patel relative to Joanna Krakowiak United States Joanna Krakowiak's profile →
Citations per field
00.5×
Joanna Krakowiak · 1×
Citations per year

Countries citing papers authored by Nikit Patel

Since Specialization
Citations

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

Fields of papers citing papers by Nikit Patel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Nikit Patel, 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 Nikit Patel Line = papers co-authored together Nikit Patel links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2016174
2 2018104
3 2019100
4 202329
5 201825
6 202319
7 20247
8 20211
9
Catalytic Converter Made of Non-noble Material for an Automobile
20130

About Nikit Patel

Nikit Patel is a scholar working on Molecular Biology, Physical and Theoretical Chemistry, Aging, Surgery and Pathology and Forensic Medicine, having authored 9 papers that have together received 459 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (3 papers), Heat shock proteins research (3 papers), Single-cell and spatial transcriptomics (2 papers), thermodynamics and calorimetric analyses (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Spine and Intervertebral Disc Pathology (1 paper), Kruppel-like factors research (1 paper) and Insect and Pesticide Research (1 paper). The work is most often cited by research in Aging (47 citations), Cell Biology (114 citations), Molecular Biology (419 citations), Physical and Theoretical Chemistry (42 citations) and Biophysics (16 citations). Nikit Patel has collaborated with scholars based in United States and Germany. Frequent co-authors include Ahmad S. Khalil, Ali Beyzavi, Joanna Krakowiak, David Pincus, Xu Zheng, Jideofor Ezike, Caleb J. Bashor, Sandeep Choubey, James J. Collins and Jané Kondev. Their work appears in journals such as eLife, Nature Cell Biology, Science, Cell Reports and Developmental Cell.

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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