Christopher P. Kolbert

2.8k citations
34 papers · 1.7k indexed · h-index 21

Impact in

Papers in

Christopher P. Kolbert

34 papers receiving 1.7k citations

Peers

Christopher P. Kolbert
Comparison fields: 5 of 118
  • Parasitology 582
  • Infectious Diseases 663
  • Clinical Biochemistry 184
  • Microbiology 12
  • Endocrinology 82
Replace Christian E. Demeure with:
Christian E. Demeure France
Abbas Doosti Iran
Mirjam H. A. Hermans Netherlands
Stacy Ricklefs United States
Matthew Hirschfeld United States
Ingeborg M. Langohr United States
Armelle Ménard France
Alessandra Ciervo Italy
Viraphong Lulitanond Thailand
Jie Yan China
Christopher P. Kolbert relative to Christian E. Demeure France Christian E. Demeure's profile →
Citations per field
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Citations per year

Countries citing papers authored by Christopher P. Kolbert

Since Specialization
Citations

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

Fields of papers citing papers by Christopher P. Kolbert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher P. Kolbert. 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 Christopher P. Kolbert. The network helps show where Christopher P. Kolbert may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1
High Throughput Quantitative PCR Using Low-input Samples for mRNA and MicroRNA Gene Expression Analyses
20131
2 201383
3 201339
4 201291
5 201229
6 201195
7 20111
8 20104
9 20105
10 20105
11 200650
12 20034
13 200326
14 200118
15 199929
16 1999222
17 19991
18 199885
19 199640
20 1995303

About Christopher P. Kolbert

Christopher P. Kolbert is a scholar working on Parasitology, Clinical Biochemistry, Infectious Diseases, Transplantation and Cancer Research, having authored 34 papers that have together received 1.7k indexed citations. Recurring topics across this work include Molecular Biology Techniques and Applications (7 papers), Vector-borne infectious diseases (6 papers), Genomics and Phylogenetic Studies (5 papers), MicroRNA in disease regulation (4 papers), Viral Infections and Vectors (4 papers), Bacterial Identification and Susceptibility Testing (4 papers), Hepatitis B Virus Studies (3 papers) and Dermatological diseases and infestations (3 papers). The work is most often cited by research in Parasitology (582 citations), Infectious Diseases (663 citations), Clinical Biochemistry (184 citations), Microbiology (12 citations) and Endocrinology (82 citations). Christopher P. Kolbert has collaborated with scholars based in United States, Switzerland and South Korea. Frequent co-authors include David H. Persing, Sam R. Telford, Paul D. Mitchell, J. Stephen Dumler, Johan Bakken, Preeti Pancholi, Kurt D. Reed, Marlene K. Hopkins, Yi‐Wei Tang and J. R. Uhl. Their work appears in journals such as Journal of Clinical Microbiology, Clinical Infectious Diseases, Shock, The Journal of Infectious Diseases and Current Opinion in Microbiology.

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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