John W. Harbell

1.7k total citations
48 papers, 965 citations indexed

About

John W. Harbell is a scholar working on Small Animals, Molecular Biology and Immunology. According to data from OpenAlex, John W. Harbell has authored 48 papers receiving a total of 965 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Small Animals, 11 papers in Molecular Biology and 11 papers in Immunology. Recurrent topics in John W. Harbell's work include Animal testing and alternatives (25 papers), Immunotoxicology and immune responses (9 papers) and 3D Printing in Biomedical Research (8 papers). John W. Harbell is often cited by papers focused on Animal testing and alternatives (25 papers), Immunotoxicology and immune responses (9 papers) and 3D Printing in Biomedical Research (8 papers). John W. Harbell collaborates with scholars based in United States, United Kingdom and Germany. John W. Harbell's co-authors include Rodger D. Curren, John M. Baust, Lia H. Campbell, Raymond W. Nims, Hans Raabe, Patrick Hayden, Karen J. Cooper, L.K. Earl, Johannes J.M. van de Sandt and R. Roguet and has published in prestigious journals such as JNCI Journal of the National Cancer Institute, Cancer and Environmental Health Perspectives.

In The Last Decade

John W. Harbell

48 papers receiving 889 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John W. Harbell United States 19 413 223 182 179 82 48 965
M.K. Prinsen Netherlands 16 254 0.6× 264 1.2× 98 0.5× 116 0.6× 60 0.7× 30 900
Hajime Kojima Japan 17 344 0.8× 180 0.8× 164 0.9× 89 0.5× 72 0.9× 78 966
Julia Scheel Germany 19 177 0.4× 195 0.9× 143 0.8× 58 0.3× 41 0.5× 39 816
Graham R. Elliott Netherlands 16 151 0.4× 181 0.8× 44 0.2× 217 1.2× 44 0.5× 51 769
Joanne Zurlo United States 16 142 0.3× 255 1.1× 105 0.6× 79 0.4× 40 0.5× 43 873
R. Roguet France 21 512 1.2× 178 0.8× 188 1.0× 215 1.2× 29 0.4× 46 1.5k
Johanna Kempenaar Netherlands 24 105 0.3× 374 1.7× 107 0.6× 111 0.6× 36 0.4× 33 1.5k
Radhakrishna Sura United States 16 66 0.2× 201 0.9× 273 1.5× 63 0.4× 17 0.2× 28 792
Hans-Werner Vohr Germany 14 163 0.4× 124 0.6× 16 0.1× 199 1.1× 61 0.7× 29 572
H.-W. Vohr Germany 16 211 0.5× 82 0.4× 13 0.1× 421 2.4× 157 1.9× 26 911

Countries citing papers authored by John W. Harbell

Since Specialization
Citations

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

Fields of papers citing papers by John W. Harbell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John W. Harbell

This figure shows the co-authorship network connecting the top 25 collaborators of John W. Harbell. A scholar is included among the top collaborators of John W. Harbell 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 John W. Harbell. John W. Harbell 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.
Hayden, Patrick & John W. Harbell. (2020). Special review series on 3D organotypic culture models: Introduction and historical perspective. In Vitro Cellular & Developmental Biology - Animal. 57(2). 95–103. 26 indexed citations
2.
Nims, Raymond W. & John W. Harbell. (2017). Best practices for the use and evaluation of animal serum as a component of cell culture medium. In Vitro Cellular & Developmental Biology - Animal. 53(8). 682–690. 13 indexed citations
3.
Baust, John M., Gertrude Case Buehring, Lia H. Campbell, et al.. (2017). Best practices in cell culture: an overview. In Vitro Cellular & Developmental Biology - Animal. 53(8). 669–672. 37 indexed citations
4.
Jester, James V., et al.. (2009). Measuring depth of injury (DOI) in an isolated rabbit eye irritation test (IRE) using biomarkers of cell death and viability. Toxicology in Vitro. 24(2). 597–604. 17 indexed citations
6.
Mun, Greg C., et al.. (2007). Use of the cytosensor microphysiometer to predict results of a 21-day cumulative irritation patch test in humans. Toxicology in Vitro. 21(6). 1165–1173. 4 indexed citations
7.
Harbell, John W., et al.. (2006). Prediction of Eye Irritation Potential of Surfactant-Based Rinse-Off Personal Care Formulations by the Bovine Corneal Opacity and Permeability (BCOP) Assay. Cutaneous and Ocular Toxicology. 25(3). 217–233. 19 indexed citations
8.
Stitzel, Katherine A., et al.. (2006). Ensuring quality of in vitro alternative test methods: Current practice. Regulatory Toxicology and Pharmacology. 45(2). 97–103. 18 indexed citations
9.
Curren, Rodger D., et al.. (2006). The importance of supplier qualification for vendors of materials used in in vitro assays. 1 indexed citations
10.
Gupta, Kailash C., et al.. (2005). Ensuring quality of in vitro alternative test methods: Issues and answers. Regulatory Toxicology and Pharmacology. 43(3). 219–224. 14 indexed citations
11.
Fentem, Julia H., David Briggs, Christophe Chesné, et al.. (2001). A prevalidation study on in vitro tests for acute skin irritation. Toxicology in Vitro. 15(1). 57–93. 113 indexed citations
12.
Bagley, D.M., et al.. (1999). Assessment of the chorioallantoic membrane vascular assay (CAMVA) in the COLIPA in vitro eye irritation validation study. Toxicology in Vitro. 13(2). 285–293. 18 indexed citations
13.
Nims, Raymond W., et al.. (1998). Sensitivity of isoenzyme analysis for the detection of interspecies cell line cross-contamination. In Vitro Cellular & Developmental Biology - Animal. 34(1). 35–39. 46 indexed citations
14.
Curren, Rodger D. & John W. Harbell. (1998). In vitro alternatives for ocular irritation.. Environmental Health Perspectives. 106(suppl 2). 485–492. 29 indexed citations
15.
Harbell, John W., et al.. (1997). IRAG Working Group 4: Cell cytotoxicity assays. Food and Chemical Toxicology. 35(1). 79–126. 45 indexed citations
16.
Dunkel, Virginia C., et al.. (1992). Evaluation of the mutagenicity of an n‐nitroso contaminant of the sunscreen padimate O: N‐nitroso‐N‐methyl‐p‐aminobenzoic acid, 2‐ethylhexyl ester (NPABAO). Environmental and Molecular Mutagenesis. 20(3). 188–198. 5 indexed citations
17.
Parent, Richard A., et al.. (1991). Gene mutation assay of acrolein in the CHO/HGPRT test system. Journal of Applied Toxicology. 11(2). 91–95. 14 indexed citations
18.
Harbell, John W., et al.. (1991). Genotoxicity of multifunctional acrylates in the salmonella/mammalian‐microsome assay and mouse lymphoma tk+/−assay. Environmental and Molecular Mutagenesis. 17(4). 264–271. 8 indexed citations
19.
Harbell, John W., et al.. (1990). Genetic Toxicity Assessment of Chloropentafluorobenzene. Defense Technical Information Center (DTIC). 1 indexed citations
20.
Harbell, John W., et al.. (1989). 2,3-Dithioerythritol, a possible new arsenic antidote. Chemical Research in Toxicology. 2(5). 301–306. 14 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026