John Curfman

1.7k citations
10 papers · 608 · h-index 6

Impact in

Papers in

    • Epigenetics and DNA Methylation 6
    • RNA modifications and cancer 5
    • Genomics and Chromatin Dynamics 2
    • Acute Myeloid Leukemia Research 3

John Curfman

9 papers receiving 596 citations

Peers

John Curfman
Comparison fields: 5 of 80
  • Aging 73
  • Endocrine and Autonomic Systems 205
  • Cancer Research 228
  • Developmental Neuroscience 34
  • Hematology 64
Replace Frank M. J. Jacobs with:
Frank M. J. Jacobs Netherlands
Laurie R. Earls United States
Poh Hui Chia United States
Matías Alvarez-Saavedra Canada
Wangjie Yu United States
Benno Schindelholz Switzerland
Elisabetta Golini Italy
Emi Ling United States
Vivian Y. Poon United States
Cristina Zibetti United States
John Curfman relative to Frank M. J. Jacobs Netherlands Frank M. J. Jacobs's profile →
Citations per field
00.5×10×12.8×
Frank M. J. Jacobs · 1×
Citations per year

Countries citing papers authored by John Curfman

Since Specialization
Citations

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

Fields of papers citing papers by John Curfman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2007482
2 201071
3 201225
4 201211
5 20146
6 20115
7 20165
8 20112
9 20121
10
Characterization of DNA-protein interactions using high-throughput sequencing data from pulldown experiments
20160

About John Curfman

John Curfman is a scholar working on Molecular Biology, Hematology, Genetics, Genetics and Endocrine and Autonomic Systems, having authored 10 papers that have together received 608 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (6 papers), RNA modifications and cancer (5 papers), Acute Myeloid Leukemia Research (3 papers), Genetic Syndromes and Imprinting (2 papers), Genomics and Chromatin Dynamics (2 papers), Spaceflight effects on biology (1 paper), Genetics, Aging, and Longevity in Model Organisms (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Aging (73 citations), Endocrine and Autonomic Systems (205 citations), Cancer Research (228 citations), Developmental Neuroscience (34 citations) and Hematology (64 citations). John Curfman has collaborated with scholars based in United States, Taiwan and Japan. Frequent co-authors include Olga Varlamova, Soren Impey, Hai‐Ying Mary Cheng, Brandon S Russell, Takanobu Nakazawa, Kimiko Shimizu, Heather Dziema, Hitoshi Okamura, Karl Obrietan and William Blum. Their work appears in journals such as BMC Genomics, Blood, Journal of Clinical Oncology, Bioinformatics and Neuron.

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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