Narinder Janghra

754 citations
14 papers · 461 · h-index 7

Impact in

  • Genetics top 5%
    • Neurogenetic and Muscular Disorders Research
    • CAR-T cell therapy research
    • HER2/EGFR in Cancer Research

Papers in

    • Cancer therapeutics and mechanisms 3
    • RNA modifications and cancer 2
    • Muscle Physiology and Disorders 2
    • HER2/EGFR in Cancer Research 5
    • CAR-T cell therapy research 5

Narinder Janghra

13 papers receiving 445 citations

Peers

Narinder Janghra
Comparison fields: 5 of 41
  • Genetics 160
  • Oncology 192
  • Pathology and Forensic Medicine 75
  • Radiology, Nuclear Medicine and Imaging 95
  • Molecular Biology 257
Replace В. Е. Парфенов with:
В. Е. Парфенов Germany
Sylvia C. Kurz United States
Chia‐Ing Jan Taiwan
Stephan Garbe Germany
Thomas Linsenmann Germany
Shaio Woo United States
James N. Gerson United States
Tingxun Lu China
Zhiyong Qin China
Yoshinori Tanizaki Japan
Narinder Janghra relative to В. Е. Парфенов Germany В. Е. Парфенов's profile →
Citations per field
00.5×3.0×
В. Е. Парфенов · 1×
Citations per year

Countries citing papers authored by Narinder Janghra

Since Specialization
Citations

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

Fields of papers citing papers by Narinder Janghra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2018118
2 2013100
3 201685
4 201358
5 201543
6 201634
7 20246
8 20156
9 20174
10 20242
11 20032
12 20171
13 20241
14 20251

About Narinder Janghra

Narinder Janghra is a scholar working on Molecular Biology, Oncology, Pathology and Forensic Medicine, Genetics and Organic Chemistry, having authored 14 papers that have together received 461 indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (5 papers), CAR-T cell therapy research (5 papers), Cancer therapeutics and mechanisms (3 papers), Lymphoma Diagnosis and Treatment (2 papers), Synthesis and pharmacology of benzodiazepine derivatives (2 papers), RNA modifications and cancer (2 papers), Neurogenetic and Muscular Disorders Research (2 papers) and Muscle Physiology and Disorders (2 papers). The work is most often cited by research in Genetics (160 citations), Oncology (192 citations), Pathology and Forensic Medicine (75 citations), Radiology, Nuclear Medicine and Imaging (95 citations) and Molecular Biology (257 citations). Narinder Janghra has collaborated with scholars based in United Kingdom, Netherlands and Switzerland. Frequent co-authors include Jennifer E. Morgan, Francesco Muntoni, Haiyan Zhou, Francesca Zammarchi, Patrick H. van Berkel, Philip W. Howard, John A. Hartley, David G. Williams, Teresa Marafioti and Karen Anthony. Their work appears in journals such as Cancer Research, Molecular Cancer Therapeutics, Blood, Human Gene Therapy and Human Molecular Genetics.

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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