William F. Haddon

23.1k total citations · 5 hit papers
128 papers, 18.7k citations indexed

About

William F. Haddon is a scholar working on Molecular Biology, Plant Science and Spectroscopy. According to data from OpenAlex, William F. Haddon has authored 128 papers receiving a total of 18.7k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 21 papers in Plant Science and 13 papers in Spectroscopy. Recurrent topics in William F. Haddon's work include Analytical Chemistry and Chromatography (7 papers), Neurobiology and Insect Physiology Research (7 papers) and Traffic and Road Safety (7 papers). William F. Haddon is often cited by papers focused on Analytical Chemistry and Chromatography (7 papers), Neurobiology and Insect Physiology Research (7 papers) and Traffic and Road Safety (7 papers). William F. Haddon collaborates with scholars based in United States and United Kingdom. William F. Haddon's co-authors include Brian O’Neill, Susan P. Baker, William B. Long, Ronald J. Nachman, Fred W. McLafferty, G.Mark Holman, Nicholas Ling, James R. McCarroll, H.J. Segall and Robert E. Lundin and has published in prestigious journals such as Science, Journal of the American Chemical Society and JAMA.

In The Last Decade

William F. Haddon

125 papers receiving 17.3k citations

Hit Papers

The injury severity score: a method for describing patien... 1968 2026 1987 2006 1974 1974 1980 1972 1968 2.0k 4.0k 6.0k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
William F. Haddon United States 40 9.2k 5.5k 4.4k 2.7k 2.3k 128 18.7k
Peter Cameron Australia 73 12.8k 1.4× 4.9k 0.9× 3.7k 0.8× 4.6k 1.7× 725 0.3× 716 24.0k
Brian H. Rowe Canada 78 4.6k 0.5× 3.3k 0.6× 2.7k 0.6× 2.8k 1.1× 542 0.2× 624 23.3k
Terry P. Klassen Canada 66 1.9k 0.2× 2.4k 0.4× 2.3k 0.5× 4.1k 1.5× 379 0.2× 274 16.8k
Carol Coupland United Kingdom 72 981 0.1× 3.4k 0.6× 2.6k 0.6× 2.4k 0.9× 571 0.3× 297 17.9k
Rod Jackson New Zealand 59 1.0k 0.1× 1.3k 0.2× 2.7k 0.6× 1.8k 0.7× 839 0.4× 416 13.8k
John J. McNeil Australia 71 2.0k 0.2× 3.7k 0.7× 2.6k 0.6× 3.5k 1.3× 66 0.0× 687 21.6k
James W. Davis United States 60 2.5k 0.3× 5.4k 1.0× 1.1k 0.2× 1.6k 0.6× 79 0.0× 378 14.6k
Michael Bailey Australia 94 5.6k 0.6× 8.7k 1.6× 1.5k 0.3× 8.0k 3.0× 57 0.0× 839 37.5k
Samy Suissa Canada 92 778 0.1× 3.9k 0.7× 2.4k 0.5× 3.9k 1.4× 240 0.1× 491 33.5k
Rory Wolfe Australia 70 1.6k 0.2× 2.9k 0.5× 2.3k 0.5× 3.0k 1.1× 71 0.0× 456 18.4k

Countries citing papers authored by William F. Haddon

Since Specialization
Citations

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

Fields of papers citing papers by William F. Haddon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William F. Haddon. 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 William F. Haddon. The network helps show where William F. Haddon may publish in the future.

Co-authorship network of co-authors of William F. Haddon

This figure shows the co-authorship network connecting the top 25 collaborators of William F. Haddon. A scholar is included among the top collaborators of William F. Haddon based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with William F. Haddon. William F. Haddon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zoukhri, Driss, Ian Rawe, Mabi Singh, et al.. (2012). Discovery of putative salivary biomarkers for Sjögren’s syndrome using high resolution mass spectrometry and bioinformatics. Journal of Oral Science. 54(1). 61–70. 7 indexed citations
2.
Wilson, Robert E., et al.. (2001). Halogenated 2,5-pyrrolidinediones: synthesis, bacterial mutagenicity in Ames tester strain TA-100 and semi-empirical molecular orbital calculations. Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 490(2). 89–98. 4 indexed citations
3.
Nachman, Ronald J., et al.. (1992). A bifunctional heterodimeric insect neuropeptide analog. International journal of peptide & protein research. 40(5). 423–428. 9 indexed citations
4.
Nachman, R.J., G.Mark Holman, William F. Haddon, & William H. Vensel. (1991). An active pseudopeptide analog of the leucokinin insect neuropeptide family. International journal of peptide & protein research. 37(3). 220–223. 17 indexed citations
5.
Nes, W. David, et al.. (1989). Evidence for similarities and differences in the biosynthesis of fungal sterols. Steroids. 53(3-5). 533–558. 52 indexed citations
6.
Elliger, Carl A., William F. Haddon, Anthony C. Waiss, & Mabry Benson. (1989). Petuniasterone N, an Unusual Ergostanoid from Petunia Species. Journal of Natural Products. 52(3). 576–580. 1 indexed citations
7.
Nachman, Ronald J., et al.. (1988). Structural aspects of gastrin/CCK-like insect leucosulfakinins and FMRF-amide. Peptides. 9. 137–143. 32 indexed citations
9.
Nachman, Ronald J., G.Mark Holman, Benjamin J. Cook, William F. Haddon, & Nicholas Ling. (1986). Leucosulfakinin-II, a blocked sulfated insect neuropeptide with homology to cholecystokinin and gastrin. Biochemical and Biophysical Research Communications. 140(1). 357–364. 163 indexed citations
10.
Binder, Ronald G. & William F. Haddon. (1984). Cyclitols of soybean leaves. Journal of Agricultural and Food Chemistry. 32(3). 685–687. 12 indexed citations
11.
Haddon, William F.. (1983). Automobile injuries related to drug abuse: An introduction to some of the basic considerations in prevention and research. Public Health Reports. 99(3). 283–283. 2 indexed citations
12.
Haddon, William F.. (1980). OPTIONS FOR THE PREVENTION OF MOTOR VEHICLE CRASH INJURY. KEYNOTE ADDRESS. 16(1). 5 indexed citations
13.
Haddon, William F.. (1980). The constant neutral linked magnetic field electric sector scan. Organic Mass Spectrometry. 15(10). 539–543. 45 indexed citations
14.
Haddon, William F.. (1975). Reducing the damage of Motor Vehicle Use. Technology Review. 77(8). 53–59. 16 indexed citations
15.
Binder, Ronald G., et al.. (1975). 1,8,11,14-heptadecatetraene from Carthamus tinctorius. Phytochemistry. 14(9). 2085–2086. 11 indexed citations
16.
Haddon, William F.. (1973). Energy damage and the ten countermeasure strategies (IRCOBI). Proceedings of the International Research Council on the Biomechanics of Injury conference. 1. 489–505. 1 indexed citations
17.
Haddon, William F.. (1972). A LOGICAL FRAMEWORK FOR CATEGORIZING HIGHWAY SAFETY PHENOMENA AND ACTIVITY. The Journal of Trauma: Injury, Infection, and Critical Care. 12(3). 193–207. 362 indexed citations breakdown →
18.
Stafford, Allan E., Dale R. Black, William F. Haddon, & Anthony C. Waiss. (1972). Analysis and improved synthesis of parasorbic acid. Journal of the Science of Food and Agriculture. 23(6). 771–776. 2 indexed citations
19.
Fish, Richard H., Robert E. Lundin, & William F. Haddon. (1972). The synthesis and characterization of dipivaloylmethylmercuric acetate. Tetrahedron Letters. 13(10). 921–924. 7 indexed citations
20.
Waiss, Anthony C., et al.. (1970). Oxidative coupling of apigenin. Tetrahedron. 26(5). 1409–1416. 23 indexed citations

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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