Ephrem Chin

1.1k citations
17 papers · 476 · h-index 11

Impact in

    • Genomics and Rare Diseases
    • Genomic variations and chromosomal abnormalities
    • Glycosylation and Glycoproteins Research
    • Muscle Physiology and Disorders
    • CRISPR and Genetic Engineering

Papers in

    • Genomics and Rare Diseases 5
    • Genomic variations and chromosomal abnormalities 3
    • Animal Genetics and Reproduction 1

Ephrem Chin

17 papers receiving 460 citations

Peers

Ephrem Chin
Comparison fields: 5 of 59
  • Genetics 153
  • Molecular Biology 255
  • Genetics 36
  • Cancer Research 45
  • Clinical Biochemistry 21
Replace Barry L. Barnoski with:
Barry L. Barnoski United States
Vidya P. Mehta United States
Detlef Trost France
Peter Haviernik United States
Tatiana Gorletta Italy
Tamina Seeger‐Nukpezah Germany
Pramila Tata United States
Sven Kroening Germany
Keqin Zheng Canada
Yuko Tsukahara Japan
Ephrem Chin relative to Barry L. Barnoski United States Barry L. Barnoski's profile →
Citations per field
00.5×2×4×6×7×
Barry L. Barnoski · 1×
Citations per year

Countries citing papers authored by Ephrem Chin

Since Specialization
Citations

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

Fields of papers citing papers by Ephrem Chin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 200883
2 201177
3 201374
4 201261
5 201243
6 200935
7 200921
8 199118
9 201314
10 202311
11 202311
12 202110
13 20108
14 20125
15 20113
16 20131
17 20161

About Ephrem Chin

Ephrem Chin is a scholar working on Genetics, Immunology, Molecular Biology, Hematology and Cancer Research, having authored 17 papers that have together received 476 indexed citations. Recurring topics across this work include Genomics and Rare Diseases (5 papers), RNA modifications and cancer (3 papers), Genomic variations and chromosomal abnormalities (3 papers), Glycosylation and Glycoproteins Research (2 papers), Congenital heart defects research (2 papers), Muscle Physiology and Disorders (2 papers), Animal Genetics and Reproduction (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Genetics (153 citations), Molecular Biology (255 citations), Genetics (36 citations), Cancer Research (45 citations) and Clinical Biochemistry (21 citations). Ephrem Chin has collaborated with scholars based in United States and Malaysia. Frequent co-authors include Madhuri Hegde, Cristina da Silva, Shruti Bhide, Devin Rhodenizer, Bradford W. Coffee, Stephen T. Warren, Michael E. Zwick, Jennifer Gladys Mulle, David T. Okou and Lora Jh Bean. Their work appears in journals such as Genetics in Medicine, BMC Genetics, Journal of Molecular Diagnostics, Orphanet Journal of Rare Diseases and The American Journal of Human Genetics.

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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