BW Koons

796 citations
11 papers · 604 indexed · h-index 9
  • Genetics top 5%
    • Forensic and Genetic Research 7
    • Diabetes and associated disorders 1
    • Genetic Associations and Epidemiology 1
    • Molecular Biology Techniques and Applications 8
    • Bacillus and Francisella bacterial research 1
    • CRISPR and Genetic Engineering 1
  • Archeology top 10%
    • T-cell and B-cell Immunology 2
    • Herpesvirus Infections and Treatments 1

BW Koons

11 papers receiving 548 citations

Peers

BW Koons
Comparison fields: 5 of 89
  • Genetics 358
  • Molecular Biology 369
  • Ecology 86
  • Hematology 33
  • Archeology 27
Replace JB Smerick with:
JB Smerick United States
Eugene Tan Singapore
Lindsey Welch United Kingdom
Federica Alessandrini Italy
Daniele Podini United States
Roselyne Rousseaux‐Prévost France
Keith D. Lunnen United States
A.H. Good United States
Milan Kuchař Czechia
Sophie Stephenson United Kingdom
BW Koons relative to JB Smerick United States JB Smerick's profile →
Citations per field
00.5×1.5×
JB Smerick · 1×
Citations per year

Countries citing papers authored by BW Koons

Since Specialization
Citations

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

Fields of papers citing papers by BW Koons

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 23 scholars most cited alongside BW Koons, 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 BW Koons Line = papers co-authored together BW Koons links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 201214
2 19987
3
Enhancement of PCR amplification yield and specificity using AmpliTaq Gold DNA polymerase.
199863
4 199723
5 199638
6 199637
7 199614
8 19968
9 1995100
10
Validation and population studies of the loci LDLR, GYPA, HBGG, D7S8, and Gc (PM loci), and HLA-DQ alpha using a multiplex amplification and typing procedure.
1995111
11 1994189

About BW Koons

BW Koons is a scholar working on Genetics, Microbiology and Urology, having authored 11 papers that have together received 604 indexed citations. Recurring topics across this work include Molecular Biology Techniques and Applications (8 papers), Forensic and Genetic Research (7 papers), T-cell and B-cell Immunology (2 papers), Bacillus and Francisella bacterial research (1 paper), Herpesvirus Infections and Treatments (1 paper), Diabetes and associated disorders (1 paper), Genetic Associations and Epidemiology (1 paper) and CRISPR and Genetic Engineering (1 paper). The work is most often cited by research in Genetics (358 citations), Molecular Biology (369 citations) and Ecology (86 citations). BW Koons has collaborated with scholars based in United States and Romania. Frequent co-authors include CT Comey, Bruce Budowle, Jenifer A. Lindsey, A M Giusti, JB Smerick, B Budowle, TR Moretti, F. Samuel Baechtel, Ralph O. Allen and Bruce McCord. Their work appears in journals such as Journal of Forensic Sciences, Electrophoresis and PubMed.

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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