Shane Weber

902 citations
11 papers · 791 indexed · h-index 7

Impact in

    • Fungal and yeast genetics research
    • DNA Repair Mechanisms
    • Genomics and Chromatin Dynamics
    • CRISPR and Genetic Engineering
    • RNA and protein synthesis mechanisms
    • Microbial Metabolic Engineering and Bioproduction
    • RNA Research and Splicing

Papers in

Shane Weber

11 papers receiving 762 citations

Peers

Shane Weber
Comparison fields: 5 of 67
  • Molecular Biology 747
  • Aging 7
  • Cell Biology 64
  • Plant Science 116
  • Genetics 84
Replace Jun Sheng with:
Jun Sheng China
G. Lucchini Italy
Aleksandra Dmochowska Poland
C W Moore United States
Jenny Mulligan United States
Ulrich Schlecht United States
Daniel F. Jaramillo United States
Renata Usaite Denmark
Guy Oshiro United States
Paike Jayadeva Bhat India
Shane Weber relative to Jun Sheng China Jun Sheng's profile →
Citations per field
00.5×1.6×
Jun Sheng · 1×
Citations per year

Countries citing papers authored by Shane Weber

Since Specialization
Citations

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

Fields of papers citing papers by Shane Weber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Shane Weber, 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 Shane Weber Line = papers co-authored together Shane Weber links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 1995256
2 1995154
3 1988125
4 1983101
5 198174
6 198048
7 199623
8 19953
9 20193
10
HOW to Manage Jack Pine to Reduce Damage from Jack Pine Budworm
19942
11 20062

About Shane Weber

Shane Weber is a scholar working on Nephrology, Aquatic Science, Biotechnology, Molecular Biology and Nature and Landscape Conservation, having authored 11 papers that have together received 791 indexed citations. Recurring topics across this work include Fungal and yeast genetics research (5 papers), RNA and protein synthesis mechanisms (3 papers), Forest Insect Ecology and Management (2 papers), DNA Repair Mechanisms (2 papers), Genomics and Chromatin Dynamics (2 papers), Plant Molecular Biology Research (1 paper), Biochemical and Structural Characterization (1 paper) and Forest ecology and management (1 paper). The work is most often cited by research in Molecular Biology (747 citations), Aging (7 citations), Cell Biology (64 citations), Plant Science (116 citations) and Genetics (84 citations). Shane Weber has collaborated with scholars based in United States, Sweden and Germany. Frequent co-authors include John McElver, Louise Prakash, Michael Lorenz, Joseph Heitman, Jeffery S. Jones, Robert H. Schiestl, P. Manivasakam, Irvin Isenberg, James Davie and David R. Higgins. Their work appears in journals such as Nucleic Acids Research, Protein Engineering Design and Selection, Gene, Ecotoxicology and Environmental Safety and The Journal of Foot & Ankle Surgery.

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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