Jugnu Jain

4.8k citations
38 papers · 4.2k indexed · 1 hit paper · h-index 21

Impact in

  • Immunology top 1%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immune Response and Inflammation
    • NF-κB Signaling Pathways

Papers in

Jugnu Jain

35 papers receiving 4.1k citations

Hit Papers

The T-cell transcription factor NFATp is a substrate for calcineurin and interacts with Fos and Jun 1993 · 664 citations
6641993202620042015200400600

Peers

Jugnu Jain
Comparison fields: 5 of 114
  • Immunology 1.6k
  • Cancer Research 856
  • Molecular Biology 2.8k
  • Physiology 139
  • Transplantation 79
Replace John J. Siekierka with:
John J. Siekierka United States
Vigo Heissmeyer Germany
Gregory J. Brunn United States
Xiaohong Zhang China
Kelvin P. Lee United States
J. Aramburu Spain
Anne‐Marie Schmitt‐Verhulst France
Gideon Berke Israel
Julianna Blagih Canada
Masahide Tone United Kingdom
Jugnu Jain relative to John J. Siekierka United States John J. Siekierka's profile →
Citations per field
00.5×1.5×2.5×
John J. Siekierka · 1×
Citations per year

Countries citing papers authored by Jugnu Jain

Since Specialization
Citations

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

Fields of papers citing papers by Jugnu Jain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20231
2 20230
3 20223
4 20160
5 201614
6 20158
7 200713
8 200557
9 200353
10 200369
11 200224
12 200153
13 2001317
14 1996218
15 1995493
16 199560
17 199462
18 1993133
19 199266
20 19917

About Jugnu Jain

Jugnu Jain is a scholar working on Physiology, Cancer Research, Molecular Biology, Immunology and Oncology, having authored 38 papers that have together received 4.2k indexed citations. Recurring topics across this work include Signaling Pathways in Disease (14 papers), Biochemical and Molecular Research (10 papers), Adenosine and Purinergic Signaling (6 papers), Cytomegalovirus and herpesvirus research (6 papers), NF-κB Signaling Pathways (6 papers), RNA Interference and Gene Delivery (4 papers), HIV/AIDS drug development and treatment (3 papers) and Lung Cancer Treatments and Mutations (3 papers). The work is most often cited by research in Immunology (1.6k citations), Cancer Research (856 citations), Molecular Biology (2.8k citations), Physiology (139 citations) and Transplantation (79 citations). Jugnu Jain has collaborated with scholars based in United States, India and France. Frequent co-authors include Anjana Rao, Viia Valge-Archer, Patricia G. McCaffrey, Zoe Miner, Patrick G. Hogan, Tom Curran, Tom K. Kerppola, Arjun A. Rao, Ada Man‐Choi Ho and Emmanuel Burgeon. Their work appears in journals such as Journal of Biological Chemistry, Molecular and Cellular Biology, Journal of Pharmaceutical Sciences, Nature and Biochemical Pharmacology.

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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