Namitha Manoj

1.3k citations
7 papers · 1.0k · 1 hit paper · h-index 5

Impact in

  • Microbiology top 10%
    • Antimicrobial Peptides and Activities
  • Genetics top 10%
    • Virus-based gene therapy research
    • Animal Genetics and Reproduction

Papers in

Namitha Manoj

7 papers receiving 980 citations

Namitha Manoj's Hit Papers

Molecular evolution of a novel hyperactive Sleeping Beauty transposase enables robust stable gene transfer in vertebrates 2009 · 768 citations
7680+5+11Years since publication250500750

Peers

Namitha Manoj
Comparison fields: 5 of 78
  • Microbiology 72
  • Genetics 308
  • Molecular Biology 705
  • Oncology 165
  • Immunology 76
Replace Jian Lin Wu with:
Jian Lin Wu China
Lucy T.C. Peltenburg Netherlands
Friederike Herbst Germany
Daqian Sun United States
Sandra C. Bernard Germany
Tiffany Brake United States
Purificación Catalina Spain
Kalai Selvi Shanmugam United States
Beihai Jiang China
Peisha Yan United States
Namitha Manoj relative to Jian Lin Wu China Jian Lin Wu's profile →
Citations per field
00.5×2×4×6.4×
Jian Lin Wu · 1×
Citations per year

Countries citing papers authored by Namitha Manoj

Since Specialization
Citations

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

Fields of papers citing papers by Namitha Manoj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1
Molecular evolution of a novel hyperactive Sleeping Beauty transposase enables robust stable gene transfer in vertebrates
Hit paper breakdown →
2009768
2 2017126
3 201363
4 201623
5 201419
6 20161
7 20171

About Namitha Manoj

Namitha Manoj is a scholar working on Microbiology, Emergency Medical Services, Immunology, Obstetrics and Gynecology and Hepatology, having authored 7 papers that have together received 1.0k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (2 papers), Antimicrobial Peptides and Activities (2 papers), Pediatric health and respiratory diseases (2 papers), Immune Response and Inflammation (2 papers), Cancer Genomics and Diagnostics (1 paper), Virus-based gene therapy research (1 paper), Cancer and Skin Lesions (1 paper) and Tumors and Oncological Cases (1 paper). The work is most often cited by research in Microbiology (72 citations), Genetics (308 citations), Molecular Biology (705 citations), Oncology (165 citations) and Immunology (76 citations). Namitha Manoj has collaborated with scholars based in United States, Germany and Belgium. Frequent co-authors include Ermira Samara-Kuko, Csaba Miskey, Andrea Schmitt, Zsuzsanna Izsvák, Katja Becker, Dawid P. Grzela, Eyayu Belay, Bradley S. Fletcher, Abel Acosta‐Sanchez and Conny A. Gysemans. Their work appears in journals such as ACS Chemical Biology, ChemBioChem, Nature Genetics, Modern Pathology and Annals of Oncology.

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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