John McClary

12 papers receiving 2.5k citations

Hit Papers

RAGE Mediates a Novel Proinflammatory Axis 1999 · 1.6k citations
1.6k199120262002201450010001.5k

Peers

John McClary
Comparison fields: 5 of 108
  • Clinical Biochemistry 915
  • Immunology 535
  • Molecular Biology 1.5k
  • Endocrinology, Diabetes and Metabolism 275
  • Neurology 111
Replace Florian C. Kurschus with:
Florian C. Kurschus Germany
James S. Owen United Kingdom
Stanley H. Korman Israel
Kanneganti Murthy United States
Geetha Srikrishna United States
Claus Kerkhoff Germany
Sara Violante United States
Dong Han China
Chang-Hoon Woo South Korea
Iain D. Nicholl United Kingdom
John McClary relative to Florian C. Kurschus Germany Florian C. Kurschus's profile →
Citations per field
00.5×1.5×2.3×
Florian C. Kurschus · 1×
Citations per year

Countries citing papers authored by John McClary

Since Specialization
Citations

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

Fields of papers citing papers by John McClary

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

12 of 12 papers shown
#Work
1 20065
2 20051
3 200565
4 200148
5
RAGE Mediates a Novel Proinflammatory Axis
Hit paper breakdown →
19991582
6 199832
7 199223
8 199236
9 199112
10
[6] Efficient site-directed mutagenesis using uracil-containing DNA
Hit paper breakdown →
1991596
11
Bst DNA polymerase permits rapid sequence analysis from nanogram amounts of template.
199131
12
Efficient site-directed in vitro mutagenesis using phagemid vectors.
1989112

About John McClary

John McClary is a scholar working on Sensory Systems, Immunology and Allergy, Microbiology, Clinical Biochemistry and Molecular Biology, having authored 12 papers that have together received 2.5k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (3 papers), Bacteriophages and microbial interactions (2 papers), Genomics and Phylogenetic Studies (2 papers), Advanced biosensing and bioanalysis techniques (2 papers), Peptidase Inhibition and Analysis (2 papers), S100 Proteins and Annexins (2 papers), Chemical Synthesis and Analysis (1 paper) and Metabolomics and Mass Spectrometry Studies (1 paper). The work is most often cited by research in Clinical Biochemistry (915 citations), Immunology (535 citations), Molecular Biology (1.5k citations), Endocrinology, Diabetes and Metabolism (275 citations) and Neurology (111 citations). John McClary has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Thomas A. Kunkel, Katarzyna Bębenek, Cecilia Avila, Markus F. Neurath, John Morser, Timothy Slattery, Mariko Nagashima, Neeraja Kambham, Ann Marie Schmidt and David Stern. Their work appears in journals such as Gene, Protein Expression and Purification, Biochemistry, Cell and Methods in enzymology on CD-ROM/Methods in enzymology.

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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