Dan Koboldt

1.7k citations
4 papers · 38 · h-index 4

Impact in

    • Cancer Genomics and Diagnostics
    • Cancer-related molecular mechanisms research
    • Genetic Associations and Epidemiology
    • Genomic variations and chromosomal abnormalities

Papers in

    • Advanced biosensing and bioanalysis techniques 1
    • Molecular Biology Techniques and Applications 1
    • CRISPR and Genetic Engineering 1
    • Genetic Associations and Epidemiology 1
    • Genomic variations and chromosomal abnormalities 1
    • Genomics and Rare Diseases 1

Dan Koboldt

4 papers receiving 36 citations

Peers

Dan Koboldt
Comparison fields: 5 of 22
  • Cancer Research 20
  • Genetics 11
  • Transplantation 1
  • Oncology 10
  • Toxicology 1
Replace Barbara C. Jones with:
Barbara C. Jones United States
Lara Sucheston‐Campbell United States
Elise van Leeuwen-Stok Netherlands
Marco Albuquerque Canada
Arianna Vallerga Italy
Helen Cramp United Kingdom
Jyh-Cherng Yu Taiwan
Christian Lawerenz Germany
Mustafa Deryal Germany
Grethe Grenaker Alnæs Norway
Dan Koboldt relative to Barbara C. Jones United States Barbara C. Jones's profile →
Citations per field
00.5×
Barbara C. Jones · 1×
Citations per year

Countries citing papers authored by Dan Koboldt

Since Specialization
Citations

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

Fields of papers citing papers by Dan Koboldt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Dan Koboldt, 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 Dan Koboldt Line = papers co-authored together Dan Koboldt links everyone, so they are left out of the graph.

All Works

About Dan Koboldt

Dan Koboldt is a scholar working on Molecular Biology, Genetics, Cancer Research, Infectious Diseases and Organic Chemistry, having authored 4 papers that have together received 38 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (1 paper), MicroRNA in disease regulation (1 paper), Genetic Associations and Epidemiology (1 paper), Genomic variations and chromosomal abnormalities (1 paper), Cancer-related molecular mechanisms research (1 paper), Molecular Biology Techniques and Applications (1 paper), Genomics and Rare Diseases (1 paper) and CRISPR and Genetic Engineering (1 paper). The work is most often cited by research in Cancer Research (20 citations), Genetics (11 citations), Transplantation (1 citation), Oncology (10 citations) and Toxicology (1 citation). Dan Koboldt has collaborated with scholars based in United States. Frequent co-authors include Michael A. Province, Lihua Wang, Qunyuan Zhang, Sara J. Bowne, Todd Wylie, Sunita Koul, Elaine R. Mardis, Daniel C. Link, Giridharan Ramsingh and Lori S. Sullivan. Their work appears in journals such as Advances in experimental medicine and biology, Genetic Epidemiology and Blood.

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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