Connor Jops

756 citations
4 papers · 135 · h-index 3

Impact in

    • RNA Research and Splicing
    • RNA modifications and cancer
    • RNA and protein synthesis mechanisms
    • Genomics and Phylogenetic Studies
    • Single-cell and spatial transcriptomics
    • Bioinformatics and Genomic Networks
    • Cancer-related molecular mechanisms research

Papers in

    • Bioinformatics and Genomic Networks 2
    • RNA Research and Splicing 2
    • RNA modifications and cancer 2
    • Epigenetics and DNA Methylation 1
    • Single-cell and spatial transcriptomics 1
    • Gene expression and cancer classification 1
    • Genetic Associations and Epidemiology 2

Connor Jops

4 papers receiving 133 citations

Peers

Connor Jops
Comparison fields: 5 of 41
  • Molecular Biology 107
  • Cancer Research 18
  • Genetics 29
  • Neurology 4
  • Cognitive Neuroscience 6
Replace Tammy Kammin with:
Tammy Kammin United Kingdom
Jeffrey L De Pons United States
Zongxiao He United States
Dai Heng China
Malin H. L. Andersson United Kingdom
Liudmyla Kondratova United States
Christopher Y. Park United States
Sarah Reach United States
Lennart Brandenburg United Kingdom
Natallia Kalinava United States
Connor Jops relative to Tammy Kammin United Kingdom Tammy Kammin's profile →
Citations per field
00.5×6.3×
Tammy Kammin · 1×
Citations per year

Countries citing papers authored by Connor Jops

Since Specialization
Citations

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

Fields of papers citing papers by Connor Jops

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

About Connor Jops

Connor Jops is a scholar working on Molecular Biology, Genetics, Cancer Research, Infectious Diseases and Organic Chemistry, having authored 4 papers that have together received 135 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (2 papers), Genetic Associations and Epidemiology (2 papers), RNA Research and Splicing (2 papers), RNA modifications and cancer (2 papers), Epigenetics and DNA Methylation (1 paper), Cancer-related molecular mechanisms research (1 paper), Single-cell and spatial transcriptomics (1 paper) and Gene expression and cancer classification (1 paper). The work is most often cited by research in Molecular Biology (107 citations), Cancer Research (18 citations), Genetics (29 citations), Neurology (4 citations) and Cognitive Neuroscience (6 citations). Connor Jops has collaborated with scholars based in United States, Singapore and United Kingdom. Frequent co-authors include Michael J. Gandal, Daniel Vo, Minsoo Kim, Elizabeth Tseng, Leonard C. Schalkwyk, Isabel Castanho, Bogdan Paşaniuc, Nicholas J. Bray, Erin D. Jeffery and Szi Kay Leung. Their work appears in journals such as Nature Genetics, Science, Bioinformatics and Cell Reports.

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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