John Morlan

1.1k citations
9 papers · 887 · h-index 6

Impact in

    • NF-κB Signaling Pathways
    • Cell death mechanisms and regulation
    • RNA modifications and cancer
    • Molecular Biology Techniques and Applications
    • RNA Interference and Gene Delivery

Papers in

    • Molecular Biology Techniques and Applications 5
    • RNA modifications and cancer 3
    • DNA Repair Mechanisms 1
    • Cancer-related molecular mechanisms research 4
    • Cancer Genomics and Diagnostics 1

John Morlan

9 papers receiving 866 citations

Peers

John Morlan
Comparison fields: 5 of 76
  • Cancer Research 210
  • Molecular Biology 601
  • Immunology 115
  • Oncology 133
  • Plant Science 158
Replace Tim-Michael Decker with:
Tim-Michael Decker Germany
Laura Schramm United States
Anders R. Clausen Sweden
Hyang‐Sook Yoo South Korea
Linlin Gao China
Marı́a Ana Duhagon Uruguay
Soenita S. Goerdayal Netherlands
Jean-Charles Epinat United States
Sergey Beresten Russia
Dorothy Zakula United States
John Morlan relative to Tim-Michael Decker Germany Tim-Michael Decker's profile →
Citations per field
00.5×1.7×
Tim-Michael Decker · 1×
Citations per year

Countries citing papers authored by John Morlan

Since Specialization
Citations

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

Fields of papers citing papers by John Morlan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2002445
2 2012153
3 1999121
4 200986
5 201267
6
Short communication: developmental control of Xa21-mediated disease resistance in rice. - eScholarship
19996
7 20105
8 20163
9 20241

About John Morlan

John Morlan is a scholar working on Molecular Biology, Cancer Research, Plant Science, Oncology and Transplantation, having authored 9 papers that have together received 887 indexed citations. Recurring topics across this work include Molecular Biology Techniques and Applications (5 papers), Cancer-related molecular mechanisms research (4 papers), RNA modifications and cancer (3 papers), Plant-Microbe Interactions and Immunity (2 papers), Plant Pathogenic Bacteria Studies (2 papers), DNA Repair Mechanisms (1 paper), Legume Nitrogen Fixing Symbiosis (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Cancer Research (210 citations), Molecular Biology (601 citations), Immunology (115 citations), Oncology (133 citations) and Plant Science (158 citations). John Morlan has collaborated with scholars based in United States and Japan. Frequent co-authors include Dominick Sinicropi, Kunbin Qu, Heidi Leblanc, Sharon Fong, David A. Lawrence, Eugene Varfolomeev, Klára Tótpál, Peter Schow, Ralph Schwall and Avi Ashkenazi. Their work appears in journals such as PLoS ONE, Current Protocols in Molecular Biology, Nature Medicine, Transplantation and Cellular Therapy and The Plant Journal.

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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