Kim Vernon

601 total citations
12 papers, 384 citations indexed

About

Kim Vernon is a scholar working on Infectious Diseases, Genetics and Epidemiology. According to data from OpenAlex, Kim Vernon has authored 12 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Infectious Diseases, 4 papers in Genetics and 3 papers in Epidemiology. Recurrent topics in Kim Vernon's work include Tuberculosis Research and Epidemiology (3 papers), Forensic and Genetic Research (3 papers) and Mycobacterium research and diagnosis (3 papers). Kim Vernon is often cited by papers focused on Tuberculosis Research and Epidemiology (3 papers), Forensic and Genetic Research (3 papers) and Mycobacterium research and diagnosis (3 papers). Kim Vernon collaborates with scholars based in Canada, Australia and United Kingdom. Kim Vernon's co-authors include Carney Matheson, Charles L. Greenblatt, Mark Spigelman, Helen D. Donoghue, Antónia Marcsik, José Moltó, Gila Kahila Bar‐Gal, Michael Nerlich, Albert Zink and Galit Lev-Maor and has published in prestigious journals such as PLoS ONE, Proceedings of the Royal Society B Biological Sciences and The Lancet Infectious Diseases.

In The Last Decade

Kim Vernon

11 papers receiving 356 citations

Peers

Kim Vernon
Tanvi P. Honap United States
Kim Vernon
Citations per year, relative to Kim Vernon Kim Vernon (= 1×) peers Tanvi P. Honap

Countries citing papers authored by Kim Vernon

Since Specialization
Citations

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

Fields of papers citing papers by Kim Vernon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kim Vernon

This figure shows the co-authorship network connecting the top 25 collaborators of Kim Vernon. A scholar is included among the top collaborators of Kim Vernon 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 Kim Vernon. Kim Vernon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Matheson, Carney, et al.. (2022). Composition of trace residues from the contents of 11th–12th century sphero-conical vessels from Jerusalem. PLoS ONE. 17(4). e0267350–e0267350.
2.
Matheson, Carney, Kim Vernon, Mark Spigelman, et al.. (2010). Correction: Molecular Exploration of the First-Century Tomb of the Shroud in Akeldama, Jerusalem. PLoS ONE. 5(4). 2 indexed citations
3.
Ulm, Sean, et al.. (2009). Historical continuities in Aboriginal land-use at Bustard Bay, Queensland: results of use-wear and residue analysis of Aboriginal glass artefacts. ResearchOnline at James Cook University (James Cook University). 27. 111–119. 11 indexed citations
4.
Matheson, Carney, Kim Vernon, Mark Spigelman, et al.. (2009). Molecular Exploration of the First-Century Tomb of the Shroud in Akeldama, Jerusalem. PLoS ONE. 4(12). e8319–e8319. 32 indexed citations
5.
Matheson, Carney, et al.. (2009). Technical note: Removal of metal ion inhibition encountered during DNA extraction and amplification of copper‐preserved archaeological bone using size exclusion chromatography. American Journal of Physical Anthropology. 140(2). 384–391. 30 indexed citations
6.
Lemma, Eshetu, et al.. (2008). Attempts to revive Mycobacterium tuberculosis from 300-year-old human mummies. FEMS Microbiology Letters. 283(1). 54–61. 8 indexed citations
7.
Matheson, Carney, G. W. Müller, Amy Junnila, et al.. (2007). A PCR method for detection of plant meals from the guts of insects. Organisms Diversity & Evolution. 7(4). 294–303. 50 indexed citations
8.
Donoghue, Helen D., Antónia Marcsik, Carney Matheson, et al.. (2005). Co–infection ofMycobacterium tuberculosisandMycobacterium lepraein human archaeological samples: a possible explanation for the historical decline of leprosy. Proceedings of the Royal Society B Biological Sciences. 272(1561). 389–394. 123 indexed citations
9.
Spigelman, Mark, et al.. (2005). Preliminary findings on the paleomicrobiological study of 400 naturally mummified human remains from Upper Nubia. Journal of Biological Research - Bollettino della Società Italiana di Biologia Sperimentale. 80(1). 6 indexed citations
10.
Donoghue, Helen D., Mark Spigelman, Charles L. Greenblatt, et al.. (2004). Tuberculosis: from prehistory to Robert Koch, as revealed by ancient DNA. The Lancet Infectious Diseases. 4(9). 584–592. 119 indexed citations
11.
Greenblatt, Charles L., Mark Spigelman, & Kim Vernon. (2003). The impact of "ancient pathogen" studies on the practice of public health.. PubMed. 31(2). 81–91. 1 indexed citations
12.
Greenblatt, Charles L., et al.. (2002). The Shroud Cave - a unique case study linking a closed loculus, a shroud and ancient mycobacteria. UCL Discovery (University College London). 2 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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