Peter S. Chines

7.5k citations
16 papers · 900 · h-index 14

Impact in

  • Genetics top 10%
    • Genetic Associations and Epidemiology
    • RNA Research and Splicing
    • Genomics and Chromatin Dynamics
    • Nuclear Structure and Function
    • Epigenetics and DNA Methylation
    • RNA modifications and cancer

Papers in

    • RNA Research and Splicing 3
    • Nuclear Structure and Function 2
    • Genomics and Chromatin Dynamics 2
    • Epigenetics and DNA Methylation 2
    • Genetic Associations and Epidemiology 4

Peter S. Chines

16 papers receiving 886 citations

Peers

Peter S. Chines
Comparison fields: 5 of 79
  • Genetics 270
  • Molecular Biology 647
  • Cancer Research 121
  • Aging 13
  • Cell Biology 76
Replace Klaus-Peter Knoch with:
Klaus-Peter Knoch Germany
M. Rivière Belgium
Jorge Magallon United States
Blaž Lupše Germany
Mi Ra An United States
Sif G. Rønn Denmark
Milena Rozenberg Israel
Tobias Strid Sweden
Federico Paroni Germany
Melissa S. McNulty United States
Peter S. Chines relative to Klaus-Peter Knoch Germany Klaus-Peter Knoch's profile →
Citations per field
00.5×5.4×
Klaus-Peter Knoch · 1×
Citations per year

Countries citing papers authored by Peter S. Chines

Since Specialization
Citations

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

Fields of papers citing papers by Peter S. Chines

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter S. Chines. 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 Peter S. Chines. The network helps show where Peter S. Chines may publish in the future.

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2012239
2 2010136
3 201391
4 201574
5 201461
6 200551
7 201835
8 201335
9 201433
10 201731
11 199928
12 201526
13 201425
14 201623
15 20057
16 20055

About Peter S. Chines

Peter S. Chines is a scholar working on Molecular Biology, Genetics, Cancer Research, Surgery and Pulmonary and Respiratory Medicine, having authored 16 papers that have together received 900 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (4 papers), RNA Research and Splicing (3 papers), Pancreatic function and diabetes (2 papers), Cancer, Lipids, and Metabolism (2 papers), Nuclear Structure and Function (2 papers), Genomics and Chromatin Dynamics (2 papers), Epigenetics and DNA Methylation (2 papers) and Asthma and respiratory diseases (2 papers). The work is most often cited by research in Genetics (270 citations), Molecular Biology (647 citations), Cancer Research (121 citations), Aging (13 citations) and Cell Biology (76 citations). Peter S. Chines has collaborated with scholars based in United States, Finland and United Kingdom. Frequent co-authors include Francis S. Collins, Michael R. Erdos, Haoyue Zhang, Ashley Nazario-Toole, Ye Zhan, Job Dekker, Kan Cao, Rachel Patton McCord, Michael Boehnke and Michael L. Stitzel. Their work appears in journals such as PLoS Genetics, BMC Genetics, Cell Metabolism, Human Mutation and BMC Genomics.

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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