Peter Griem

4.5k total citations
41 papers, 1.4k citations indexed

About

Peter Griem is a scholar working on Dermatology, Immunology and Small Animals. According to data from OpenAlex, Peter Griem has authored 41 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Dermatology, 16 papers in Immunology and 9 papers in Small Animals. Recurrent topics in Peter Griem's work include Contact Dermatitis and Allergies (21 papers), Animal testing and alternatives (9 papers) and Immunotherapy and Immune Responses (8 papers). Peter Griem is often cited by papers focused on Contact Dermatitis and Allergies (21 papers), Animal testing and alternatives (9 papers) and Immunotherapy and Immune Responses (8 papers). Peter Griem collaborates with scholars based in Germany, United Kingdom and United States. Peter Griem's co-authors include Ernst Gleichmann, Carsten Goebel, Heike Scheffler, Bernhardt Sachs, Marty Wulferink, G. Frank Gerberick, David A. Basketter, A.M. Api, Cindy A. Ryan and Graham Ellis and has published in prestigious journals such as Cell, The Journal of Immunology and Environment International.

In The Last Decade

Peter Griem

40 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Griem Germany 20 733 442 272 246 234 41 1.4k
Jean‐Pierre Lepoittevin France 20 797 1.1× 91 0.2× 281 1.0× 131 0.5× 67 0.3× 45 1.1k
Ivone Jakaša Netherlands 24 1.5k 2.0× 174 0.4× 77 0.3× 42 0.2× 101 0.4× 74 1.9k
Karin Cederbrant Sweden 18 201 0.3× 254 0.6× 101 0.4× 25 0.1× 106 0.5× 34 1.1k
W. FRAIN-BELL United Kingdom 24 902 1.2× 150 0.3× 35 0.1× 61 0.2× 49 0.2× 68 1.4k
B. Santucci Italy 16 435 0.6× 95 0.2× 143 0.5× 9 0.0× 70 0.3× 47 826
Hans‐Peter Rihs Germany 24 747 1.0× 86 0.2× 324 1.2× 6 0.0× 366 1.6× 80 1.9k
Janet M. Dewdney United Kingdom 15 150 0.2× 98 0.2× 99 0.4× 33 0.1× 49 0.2× 36 827
Ine Hassing Netherlands 14 79 0.1× 164 0.4× 54 0.2× 12 0.0× 210 0.9× 23 739
H Ippen Germany 15 366 0.5× 72 0.2× 52 0.2× 21 0.1× 87 0.4× 130 1.0k
Craig A. Elmets United States 15 521 0.7× 277 0.6× 24 0.1× 11 0.0× 39 0.2× 35 1.2k

Countries citing papers authored by Peter Griem

Since Specialization
Citations

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

Fields of papers citing papers by Peter Griem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Griem

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Griem. A scholar is included among the top collaborators of Peter Griem 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 Peter Griem. Peter Griem 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.
Natsch, Andreas, Peter Griem, James Winfred Bridges, et al.. (2026). Derivation of a Point of Departure using NAMs for application in Quantitative Risk Assessment of fragrance materials. Regulatory Toxicology and Pharmacology. 167. 106052–106052.
2.
Najjar, Abdulkarim, Sebastien Grégoire, Beate Nicol, et al.. (2025). Grouping of chemicals for safety assessment: the importance of toxicokinetic properties of salicylate esters. Archives of Toxicology. 99(3). 995–1010. 1 indexed citations
3.
4.
Griem, Peter, Tobias Weiß, Thomas Brüning, et al.. (2022). Diastereoselective metabolism of homomenthyl salicylate (homosalate): Identification of relevant human exposure biomarkers. Environment International. 170. 107637–107637. 7 indexed citations
5.
Griem, Peter, et al.. (2022). Reference Chemical Potency List (RCPL): A new tool for evaluating the accuracy of skin sensitisation potency measurements by New Approach Methodologies (NAMs). Regulatory Toxicology and Pharmacology. 134. 105244–105244. 10 indexed citations
6.
Api, A.M., David Basketter, James Winfred Bridges, et al.. (2020). Updating exposure assessment for skin sensitization quantitative risk assessment for fragrance materials. Regulatory Toxicology and Pharmacology. 118. 104805–104805. 52 indexed citations
7.
Basketter, David, Nathalie Alépée, Silvia Casati, et al.. (2013). Skin sensitisation – Moving forward with non-animal testing strategies for regulatory purposes in the EU. Regulatory Toxicology and Pharmacology. 67(3). 531–535. 32 indexed citations
8.
9.
Api, A.M., David A. Basketter, Peter A. Cadby, et al.. (2007). Dermal sensitization quantitative risk assessment (QRA) for fragrance ingredients. Regulatory Toxicology and Pharmacology. 52(1). 3–23. 217 indexed citations
10.
Griem, Peter, Carsten Goebel, & Heike Scheffler. (2003). Proposal for a risk assessment methodology for skin sensitization based on sensitization potency data. Regulatory Toxicology and Pharmacology. 38(3). 269–290. 95 indexed citations
11.
Griem, Peter, et al.. (1998). T cell cross-reactivity to heavy metals: identical cryptic peptides may be presented from protein exposed to different metals. European Journal of Immunology. 28(6). 1941–1947. 30 indexed citations
12.
Schuppe, Hans-Christian, et al.. (1998). Immunomodulation by heavy metal compounds. Clinics in Dermatology. 16(1). 149–157. 19 indexed citations
13.
Griem, Peter, et al.. (1997). Strain Differences in Tissue Concentrations of Mercury in Inbred Mice Treated with Mercuric Chloride. Toxicology and Applied Pharmacology. 144(1). 163–170. 12 indexed citations
14.
Griem, Peter, et al.. (1996). Alteration of a model antigen by Au(III) leads to T cell sensitization to cryptic peptides. European Journal of Immunology. 26(2). 279–287. 50 indexed citations
15.
Kubicka-Muranyi, Malgorzata, et al.. (1995). Mercuric-Chloride-lnduced Autoimmunity in Mice Involves Up-Regulated Presentation by Spleen Cells of Altered and Unaltered Nucleolar Self Antigen. International Archives of Allergy and Immunology. 108(1). 1–10. 35 indexed citations
16.
Lai, Zhi‐Wei, Peter Griem, Ernst Gleichmann, & Charlotte Esser. (1995). CD8 Thymocytes Derived from 3,3′,4,4′-Tetrachlorobiphenyl-Exposed Fetal Thymuses Possess Killing Activity. Toxicology and Applied Pharmacology. 133(2). 223–232. 10 indexed citations
17.
Griem, Peter & Ernst Gleichmann. (1995). Metal ion induced autoimmunity. Current Opinion in Immunology. 7(6). 831–838. 113 indexed citations
18.
Takahashi, Kazuo, Peter Griem, Carsten Goebel, J. González, & Ernst Gleichmann. (1994). The Antirheumatic Drug Gold, a Coin With Two Faces: AU(I) and AU(III).Desired and Undesired Effects on the Immune System. Metal-Based Drugs. 1(5-6). 483–496. 28 indexed citations
19.
Sekimata, Masayuki, Peter Griem, K Egawa, H-G Rammensee, & Masafumi Takiguchi. (1992). Isolation of human minor histocompatibility peptides. International Immunology. 4(2). 301–304. 16 indexed citations
20.
Griem, Peter, Hans‐Joachim Wallny, Kirsten Falk, et al.. (1991). Uneven tissue distribution of minor histocompatibility proteins versus peptides is caused by MHC expression. Cell. 65(4). 633–640. 57 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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