John D. Venable

4.9k citations
30 papers · 3.4k indexed · 1 hit paper · h-index 22

John D. Venable

30 papers receiving 3.3k citations

Hit Papers

Automated approach for quantitative analysis of complex p...5932004202620112018100200300400500

Peers

John D. Venable
Comparison fields: 5 of 121
  • Aging 187
  • Spectroscopy 1.5k
  • Molecular Biology 2.4k
  • Cell Biology 391
  • Immunology 194
Replace Andrew N. Krutchinsky with:
Andrew N. Krutchinsky United States
Barbara Garvik United States
David Schieltz United States
Michael O. Glocker Germany
Thomas A. Shaler United States
Hamid Mirzaei United States
Danielle L. Swaney United States
Brett Larsen Canada
Stephen Tate Canada
Justin D. Blethrow United States
John D. Venable relative to Andrew N. Krutchinsky United States Andrew N. Krutchinsky's profile →
Citations per field
00.5×
Andrew N. Krutchinsky · 1×
Citations per year

Countries citing papers authored by John D. Venable

Since Specialization
Citations

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

Fields of papers citing papers by John D. Venable

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 2015353
2 201531
3 20139
4 2008330
5 200885
6 200854
7 2007266
8 200784
9 2007114
10 200757
11 2006493
12 200624
13 200552
14 20059
15
Automated approach for quantitative analysis of complex peptide mixtures from tandem mass spectrabreakdown →
2004593
16 2004306
17 200446
18 200210
19 200023
20 20007

About John D. Venable

John D. Venable is a scholar working on Spectroscopy, Aging, Analytical Chemistry, Electrochemistry and Molecular Biology, having authored 30 papers that have together received 3.4k indexed citations. Recurring topics across this work include Mass Spectrometry Techniques and Applications (22 papers), Advanced Proteomics Techniques and Applications (16 papers), Metabolomics and Mass Spectrometry Studies (8 papers), Analytical chemistry methods development (5 papers), Analytical Chemistry and Chromatography (3 papers), Ion-surface interactions and analysis (2 papers), Laser-induced spectroscopy and plasma (2 papers) and Cellular transport and secretion (2 papers). The work is most often cited by research in Aging (187 citations), Spectroscopy (1.5k citations), Molecular Biology (2.4k citations), Cell Biology (391 citations) and Immunology (194 citations). John D. Venable has collaborated with scholars based in United States and Denmark. Frequent co-authors include John R. Yates, Meng‐Qiu Dong, James A. Wohlschlegel, Andrew Dillin, Tao Xu, Sung Kyu Park, Daniel Cociorva, Daniel B. McClatchy, William E. Balch and Jeffery W. Kelly. Their work appears in journals such as Analytical Chemistry, Journal of Proteome Research, Spectrochimica Acta Part B Atomic Spectroscopy, Nature Methods and Journal of the American Society for Mass Spectrometry.

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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