Antrix Jain

3.3k citations
51 papers · 1.5k · h-index 22

Impact in

Papers in

    • RNA Research and Splicing 5
    • Ubiquitin and proteasome pathways 4
    • Protein Degradation and Inhibitors 4
    • Receptor Mechanisms and Signaling 3
    • Epigenetics and DNA Methylation 3

Antrix Jain

49 papers receiving 1.5k citations

Peers

Antrix Jain
Comparison fields: 5 of 111
  • Molecular Biology 821
  • Developmental Neuroscience 46
  • Neurology 87
  • Aging 18
  • Immunology 197
Replace Chan Hyun Na with:
Chan Hyun Na United States
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Kerstin Lang Germany
James M. Angelastro United States
Tzvetanka Bondeva Germany
Sandeep K. Singh United States
Alexandra Kretz Germany
Kohsuke Kanekura Japan
Girish Putcha United States
Qingsong Wang China
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Citations per field
00.5×1.5×1.8×
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Citations per year

Countries citing papers authored by Antrix Jain

Since Specialization
Citations

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

Fields of papers citing papers by Antrix Jain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020221
2 2018149
3 2020105
4 201682
5 202077
6 201864
7 201761
8 201860
9 201751
10 202048
11 202041
12 201939
13 202138
14 202338
15 201836
16 201935
17 202029
18 202127
19 202326
20 202424

About Antrix Jain

Antrix Jain is a scholar working on Molecular Biology, Oncology, Cancer Research, Genetics and Cardiology and Cardiovascular Medicine, having authored 51 papers that have together received 1.5k indexed citations. Recurring topics across this work include RNA Research and Splicing (5 papers), Ubiquitin and proteasome pathways (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Protein Degradation and Inhibitors (4 papers), Receptor Mechanisms and Signaling (3 papers), Estrogen and related hormone effects (3 papers), Epigenetics and DNA Methylation (3 papers) and Cardiac Fibrosis and Remodeling (3 papers). The work is most often cited by research in Molecular Biology (821 citations), Developmental Neuroscience (46 citations), Neurology (87 citations), Aging (18 citations) and Immunology (197 citations). Antrix Jain has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Sung Yun Jung, Anna Malovannaya, Wei-Chih Tsai, Lucas C. Reineke, Richard E. Lloyd, Kyoung‐Jae Choi, Kevin R. MacKenzie, Josephine C. Ferreon, Phoebe S. Tsoi and Allan Chris M. Ferreon. Their work appears in journals such as Nature Communications, Molecular & Cellular Proteomics, Blood, Proceedings of the National Academy of Sciences and iScience.

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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