Pooja Narang

544 citations
14 papers · 395 · h-index 9

Impact in

    • Cancer Immunotherapy and Biomarkers
    • Immunotherapy and Immune Responses

Papers in

    • Protein Structure and Dynamics 3
    • Protein Tyrosine Phosphatases 2
    • Glycosylation and Glycoproteins Research 2
    • RNA and protein synthesis mechanisms 2
    • Immunotherapy and Immune Responses 2

Pooja Narang

14 papers receiving 389 citations

Peers

Pooja Narang
Comparison fields: 5 of 71
  • Oncology 148
  • Immunology 100
  • Cancer Research 53
  • Molecular Biology 214
  • Otorhinolaryngology 10
Replace Rakesh Trivedi with:
Rakesh Trivedi United States
Adonis Hazoumé France
Katharina Kolbe Germany
Darragh P. O’Brien United Kingdom
Afoma C. Umeano United States
Michelle Bowie United States
Eric Fourmaux France
John R. Hornick United States
Heba Alkhatabi Saudi Arabia
Emmanuel de Billy Italy
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Citations per field
00.5×10×17×
Rakesh Trivedi · 1×
Citations per year

Countries citing papers authored by Pooja Narang

Since Specialization
Citations

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

Fields of papers citing papers by Pooja Narang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 201967
2 200663
3 201859
4 200556
5 201853
6 200632
7 201317
8 201216
9 201314
10 20225
11 20104
12 20233
13 20163
14 20063

About Pooja Narang

Pooja Narang is a scholar working on Molecular Biology, Immunology, Materials Chemistry, Cellular and Molecular Neuroscience and Oncology, having authored 14 papers that have together received 395 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (3 papers), Enzyme Structure and Function (3 papers), Protein Tyrosine Phosphatases (2 papers), Glycosylation and Glycoproteins Research (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), RNA and protein synthesis mechanisms (2 papers), Immunotherapy and Immune Responses (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Oncology (148 citations), Immunology (100 citations), Cancer Research (53 citations), Molecular Biology (214 citations) and Otorhinolaryngology (10 citations). Pooja Narang has collaborated with scholars based in United States, India and Australia. Frequent co-authors include B. Jayaram, Karen S. Anderson, Meixuan Chen, Melissa A. Wilson, Melissa A. Wilson Sayres, Debashish Sahu, Praveen Agrawal, Nathalie Meurice, Sri Krishna and Jeffrey P. MacKeigan. Their work appears in journals such as Methods, Cancer Research, Nucleic Acids Research, Journal of Biological Chemistry and Genome Biology and Evolution.

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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