Prince Jacob

660 citations
13 papers · 558 · h-index 4

Impact in

  • Genetics top 10%
    • Virus-based gene therapy research
    • Animal Genetics and Reproduction
    • RNA Interference and Gene Delivery
    • RNA and protein synthesis mechanisms
    • RNA Research and Splicing
    • CRISPR and Genetic Engineering
    • Genomics and Chromatin Dynamics
    • Viral Infectious Diseases and Gene Expression in Insects

Papers in

    • Connective tissue disorders research 4
    • Genetic and Kidney Cyst Diseases 2
    • Virus-based gene therapy research 2
    • Genomics and Rare Diseases 2
    • Genetic Syndromes and Imprinting 2
    • Dermatological and Skeletal Disorders 1
    • RNA modifications and cancer 2
    • Ubiquitin and proteasome pathways 2

Prince Jacob

10 papers receiving 536 citations

Peers

Prince Jacob
Comparison fields: 5 of 68
  • Genetics 190
  • Molecular Biology 394
  • Immunology 99
  • Virology 22
  • Immunology and Allergy 18
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Citations per field
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Citations per year

Countries citing papers authored by Prince Jacob

Since Specialization
Citations

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

Fields of papers citing papers by Prince Jacob

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1
Expression and regulation of Escherichia coli lacZ gene fusions in mammalian cells.
1983453
2 198477
3 201811
4 20225
5 20233
6 20203
7 20203
8 20211
9 20231
10
[Major pancytopenia in Biermer disease. 5 cases].
19941
11 20240
12 20230
13 20220

About Prince Jacob

Prince Jacob is a scholar working on Genetics, Molecular Biology, Cell Biology, Pathology and Forensic Medicine and Cellular and Molecular Neuroscience, having authored 13 papers that have together received 558 indexed citations. Recurring topics across this work include Connective tissue disorders research (4 papers), Genetic and Kidney Cyst Diseases (2 papers), RNA modifications and cancer (2 papers), Virus-based gene therapy research (2 papers), Genomics and Rare Diseases (2 papers), Genetic Syndromes and Imprinting (2 papers), Ubiquitin and proteasome pathways (2 papers) and Dermatological and Skeletal Disorders (1 paper). The work is most often cited by research in Genetics (190 citations), Molecular Biology (394 citations), Immunology (99 citations), Virology (22 citations) and Immunology and Allergy (18 citations). Prince Jacob has collaborated with scholars based in India, Japan and United States. Frequent co-authors include G M Ringold, Frank Lee, Deborah E. Dobson, Jeanne Luh, Katta M. Girisha, Gen Nishimura, Dhanya Lakshmi Narayanan, Geert Mortier, Hitesh Shah and Gandham SriLakshmi Bhavani. Their work appears in journals such as Human Mutation, npj Genomic Medicine, European Journal of Medical Genetics, Clinical Genetics and Nucleic Acids Research.

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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