Martin Spendiff

472 total citations
7 papers, 242 citations indexed

About

Martin Spendiff is a scholar working on Health, Toxicology and Mutagenesis, Pharmacology and Food Science. According to data from OpenAlex, Martin Spendiff has authored 7 papers receiving a total of 242 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Health, Toxicology and Mutagenesis, 2 papers in Pharmacology and 2 papers in Food Science. Recurrent topics in Martin Spendiff's work include Pesticide Residue Analysis and Safety (2 papers), Effects and risks of endocrine disrupting chemicals (2 papers) and Pharmacogenetics and Drug Metabolism (2 papers). Martin Spendiff is often cited by papers focused on Pesticide Residue Analysis and Safety (2 papers), Effects and risks of endocrine disrupting chemicals (2 papers) and Pharmacogenetics and Drug Metabolism (2 papers). Martin Spendiff collaborates with scholars based in United Kingdom, United States and France. Martin Spendiff's co-authors include George Loizou, Hugh A. Barton, Frédéric Y. Bois, Harvey J. Clewell, Weihsueh A. Chiu, Melvin E. Andersen, Ursula Gundert‐Remy, Sean M. Hays, Walter Schmitt and Robert S. DeWoskin and has published in prestigious journals such as Toxicological Sciences, Toxicology Letters and Computer Methods and Programs in Biomedicine.

In The Last Decade

Martin Spendiff

7 papers receiving 231 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Martin Spendiff United Kingdom	5	111	71	53	40	33	7	242
C. Eric Hack United States	12	156 1.4×	84 1.2×	53 1.0×	51 1.3×	33 1.0×	22	369
Camilla Bernasconi Italy	7	117 1.1×	54 0.8×	93 1.8×	60 1.5×	12 0.4×	14	338
Camille Béchaux France	13	184 1.7×	66 0.9×	29 0.5×	31 0.8×	11 0.3×	25	393
Patricia A. Weideman United States	11	120 1.1×	47 0.7×	20 0.4×	21 0.5×	11 0.3×	20	338
Reetu Singh United States	5	202 1.8×	102 1.4×	49 0.9×	75 1.9×	15 0.5×	6	421
Yuki Sakuratani Japan	10	145 1.3×	34 0.5×	38 0.7×	134 3.4×	15 0.5×	23	360
Marjory Moreau United States	12	173 1.6×	77 1.1×	28 0.5×	32 0.8×	6 0.2×	28	322
Bianca Allen United States	5	191 1.7×	147 2.1×	20 0.4×	7 0.2×	23 0.7×	8	329
Sunil Kulkarni Canada	10	74 0.7×	28 0.4×	25 0.5×	106 2.6×	6 0.2×	38	270
Prachi Pradeep United States	14	192 1.7×	64 0.9×	23 0.4×	166 4.2×	10 0.3×	23	442

Countries citing papers authored by Martin Spendiff

Since Specialization

Citations

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

Fields of papers citing papers by Martin Spendiff

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Spendiff

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

All Works

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7 of 7 papers shown

1.

Bartels, M., David L. Rick, Ezra R. Lowe, et al.. (2012). Development of PK- and PBPK-based modeling tools for derivation of biomonitoring guidance values. Computer Methods and Programs in Biomedicine. 108(2). 773–788. 17 indexed citations

2.

Bartels, M., George Loizou, Paul S. Price, et al.. (2010). Development of PK- and PBPK-based modeling tools for derivation of biomonitoring guidance values. Toxicology Letters. 196. S42–S42. 2 indexed citations

3.

Bartels, Michael, George Loizou, Paul S. Price, et al.. (2009). Development of a tiered set of modelling tools for derivation of biomonitoring guidance values. Toxicology Letters. 189. S154–S154. 2 indexed citations

4.

Loizou, George, Martin Spendiff, Hugh A. Barton, et al.. (2008). Development of good modelling practice for physiologically based pharmacokinetic models for use in risk assessment: The first steps. Regulatory Toxicology and Pharmacology. 50(3). 400–411. 86 indexed citations

5.

Barton, Hugh A., Weihsueh A. Chiu, R. Woodrow Setzer, et al.. (2007). Characterizing Uncertainty and Variability in Physiologically Based Pharmacokinetic Models: State of the Science and Needs for Research and Implementation. Toxicological Sciences. 99(2). 395–402. 102 indexed citations

6.

Spendiff, Martin, et al.. (2005). Physiologically based pharmacokinetic modelling of human exposure to 2-butoxyethanol. Toxicology Letters. 162(2-3). 164–173. 16 indexed citations

7.

Loizou, George & Martin Spendiff. (2004). A human PBPK model for ethanol describing inhibition of gastric motility. The Histochemical Journal. 35(7). 687–696. 17 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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