Daniel J. Wescott

2.3k total citations
67 papers, 1.5k citations indexed

About

Daniel J. Wescott is a scholar working on Archeology, Insect Science and Genetics. According to data from OpenAlex, Daniel J. Wescott has authored 67 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Archeology, 17 papers in Insect Science and 14 papers in Genetics. Recurrent topics in Daniel J. Wescott's work include Forensic Anthropology and Bioarchaeology Studies (45 papers), Paleopathology and ancient diseases (19 papers) and Forensic Entomology and Diptera Studies (17 papers). Daniel J. Wescott is often cited by papers focused on Forensic Anthropology and Bioarchaeology Studies (45 papers), Paleopathology and ancient diseases (19 papers) and Forensic Entomology and Diptera Studies (17 papers). Daniel J. Wescott collaborates with scholars based in United States, United Kingdom and Netherlands. Daniel J. Wescott's co-authors include Deborah L. Cunningham, Nicholas P. Herrmann, Lyle W. Konigsberg, Erin H. Kimmerle, Derek T. Anderson, Hayley L. Mickleburgh, Robert C. McCarthy, Noemi Procopio, James M. Keller and Jacqueline A. Aitkenhead‐Peterson and has published in prestigious journals such as Plastic & Reconstructive Surgery, eLife and IEEE Transactions on Fuzzy Systems.

In The Last Decade

Daniel J. Wescott

66 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel J. Wescott United States	22	926	362	278	218	201	67	1.5k
Dawnie Wolfe Steadman United States	20	737 0.8×	544 1.5×	339 1.2×	147 0.7×	110 0.5×	72	1.2k
Gérald Quatrehomme France	23	949 1.0×	403 1.1×	155 0.6×	296 1.4×	52 0.3×	72	1.5k
Angi M. Christensen United States	18	667 0.7×	289 0.8×	76 0.3×	292 1.3×	32 0.2×	52	964
Stephen D. Ousley United States	16	844 0.9×	530 1.5×	31 0.1×	176 0.8×	111 0.6×	35	1.1k
Miguel Cecilio Botella López Spain	19	841 0.9×	208 0.6×	20 0.1×	207 0.9×	155 0.8×	107	1.2k
Amy Z. Mundorff United States	18	570 0.6×	498 1.4×	199 0.7×	85 0.4×	39 0.2×	36	885
Efthymia Nikita Cyprus	18	707 0.8×	259 0.7×	12 0.0×	119 0.5×	157 0.8×	82	928
Jaroslav Brůžek Czechia	20	875 0.9×	314 0.9×	8 0.0×	145 0.7×	160 0.8×	80	1.2k
Marco Grandi Italy	18	329 0.4×	132 0.4×	70 0.3×	138 0.6×	25 0.1×	39	779
Bradley J. Adams United States	13	330 0.4×	191 0.5×	35 0.1×	79 0.4×	52 0.3×	36	582

Countries citing papers authored by Daniel J. Wescott

Since Specialization

Citations

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

Fields of papers citing papers by Daniel J. Wescott

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel J. Wescott. 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 Daniel J. Wescott. The network helps show where Daniel J. Wescott may publish in the future.

Co-authorship network of co-authors of Daniel J. Wescott

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

All Works

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20 of 20 papers shown

Connor, Melissa, Gretchen R. Dabbs, Shari L. Forbes, et al.. (2025). From a Small Plot in Knoxville to a Worldwide Footprint. Civil War Book Review. 7(4).

Sylvester, Adam D., Daniel J. Wescott, Deborah L. Cunningham, et al.. (2024). An Introduction to the Orbital Buttresses. Plastic & Reconstructive Surgery. 155(4). 780e–783e. 1 indexed citations

Nelson, Andrew, et al.. (2023). The impact of freezing on the post-mortem human microbiome. Frontiers in Ecology and Evolution. 11. 5 indexed citations

Kootker, Lisette M., et al.. (2023). Sr–Pb isotope differences in pre- and post-burial human bone, teeth, and hair keratin: implications for isotope forensics. International Journal of Legal Medicine. 138(1). 151–164. 3 indexed citations

Hughes‐Stamm, Sheree, et al.. (2022). Preliminary Investigation of the Effect of Maceration Procedures on Bone Metabolome and Lipidome. Metabolites. 12(11). 1020–1020. 2 indexed citations

Mickleburgh, Hayley L., et al.. (2022). The ‘ForensOMICS’ approach for postmortem interval estimation from human bone by integrating metabolomics, lipidomics, and proteomics. eLife. 11. 45 indexed citations

Doro, Kennedy O., et al.. (2022). Geophysical imaging of buried human remains in simulated mass and single graves: Experiment design and results from pre-burial to six months after burial. Forensic Science International. 335. 111289–111289. 6 indexed citations

Wescott, Daniel J., et al.. (2022). Comparative study of Rapid DNA versus conventional methods on compromised bones. Forensic Science International Genetics. 63. 102825–102825. 3 indexed citations

Weidt, Stefan, Marκ McLaughlin, Daniel J. Wescott, et al.. (2020). Postmortomics: The Potential of Untargeted Metabolomics to Highlight Markers for Time Since Death. OMICS A Journal of Integrative Biology. 24(11). 649–659. 41 indexed citations

10.

Wescott, Daniel J.. (2018). Recent advances in forensic anthropology: decomposition research. Forensic Sciences Research. 3(4). 278–293. 64 indexed citations

11.

Aitkenhead‐Peterson, Jacqueline A., et al.. (2017). An evaluation of soil chemistry in human cadaver decomposition islands: Potential for estimating postmortem interval (PMI). Forensic Science International. 279. 130–139. 38 indexed citations

12.

Wescott, Daniel J., et al.. (2016). Secular Change in the Femur Diaphyseal Biomechanical Properties of American Whites. Human Biology. 88(1). 38–38. 3 indexed citations

13.

Wescott, Daniel J., et al.. (2016). Comparison of decomposition rates between autopsied and non-autopsied human remains. Forensic Science International. 261. 93–100. 16 indexed citations

14.

Wescott, Daniel J., et al.. (2015). Using dental cementum increment analysis to estimate age and season of death in African Americans from an historical cemetery in Missouri. International Journal of Paleopathology. 15. 134–139. 10 indexed citations

15.

Wescott, Daniel J. & Deborah L. Cunningham. (2013). Temporal changes in Arikara femoral torsion. 2 indexed citations

16.

McCarthy, Robert C., et al.. (2010). Just how strapping was KNM-WT 15000?. Journal of Human Evolution. 59(5). 542–554. 57 indexed citations

17.

Cunningham, Deborah L. & Daniel J. Wescott. (2009). Still More “Fancy” and “Myth” than “Fact” in Students’ Conceptions of Evolution. Evolution Education and Outreach. 2(3). 505–517. 42 indexed citations

18.

Wescott, Daniel J. & Deepa Srikanta. (2008). Testing assumptions of the Gilbert and Gill method for assessing ancestry using the femur subtrochanteric shape. HOMO. 59(5). 347–363. 16 indexed citations

19.

Wescott, Daniel J., et al.. (2008). Stature Estimation Based on Dimensions of the Bony Pelvis and Proximal Femur*. Journal of Forensic Sciences. 53(1). 65–68. 46 indexed citations

20.

Wescott, Daniel J.. (2006). Ontogeny of Femur Subtrochanteric Shape in Native Americans and American Blacks and Whites^*. Journal of Forensic Sciences. 51(6). 1240–1245. 15 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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