Willy Gomm

906 total citations · 1 hit paper
16 papers, 679 citations indexed

About

Willy Gomm is a scholar working on Cancer Research, Health, Toxicology and Mutagenesis and Psychiatry and Mental health. According to data from OpenAlex, Willy Gomm has authored 16 papers receiving a total of 679 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cancer Research, 4 papers in Health, Toxicology and Mutagenesis and 3 papers in Psychiatry and Mental health. Recurrent topics in Willy Gomm's work include Carcinogens and Genotoxicity Assessment (5 papers), Air Quality and Health Impacts (2 papers) and Indoor Air Quality and Microbial Exposure (2 papers). Willy Gomm is often cited by papers focused on Carcinogens and Genotoxicity Assessment (5 papers), Air Quality and Health Impacts (2 papers) and Indoor Air Quality and Microbial Exposure (2 papers). Willy Gomm collaborates with scholars based in Germany, United States and Switzerland. Willy Gomm's co-authors include Britta Haenisch, Karl Broich, Gabriele Doblhammer, Anne Fink, Klaus von Holt, Wolfgang Maier, Wolfgang Maier, E. Roemer, F.J. Tewes and Klaus Weckbecker and has published in prestigious journals such as Journal of the American Geriatrics Society, Toxicology and Journal of Alzheimer s Disease.

In The Last Decade

Willy Gomm

14 papers receiving 656 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Association of Proton Pump Inhibitors With Risk of Dementia

2016 393 citations Willy Gomm, Klaus von Holt et al. JAMA Neurology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Willy Gomm Germany	11	259	198	143	104	98	16	679
Klaus von Holt Germany	8	392 1.5×	303 1.5×	199 1.4×	102 1.0×	39 0.4×	11	766
Gayle Perrone United States	14	102 0.4×	338 1.7×	25 0.2×	188 1.8×	17 0.2×	18	925
Fei Dai China	11	78 0.3×	66 0.3×	24 0.2×	65 0.6×	20 0.2×	24	500
Mark Eijgelsheim Netherlands	19	43 0.2×	102 0.5×	252 1.8×	85 0.8×	16 0.2×	36	1.3k
Rekha B. Kumar United States	15	50 0.2×	463 2.3×	55 0.4×	491 4.7×	15 0.2×	36	1.3k
Mohammad Abbasinazari Iran	14	35 0.1×	125 0.6×	85 0.6×	83 0.8×	5 0.1×	49	560
Jing Yu China	16	11 0.0×	101 0.5×	58 0.4×	126 1.2×	31 0.3×	69	781
Luca Mascitelli United States	14	9 0.0×	278 1.4×	48 0.3×	191 1.8×	20 0.2×	42	1.0k
David Blank Canada	15	28 0.1×	385 1.9×	41 0.3×	393 3.8×	58 0.6×	30	1.1k
Yüksel Altuntaş Türkiye	22	19 0.1×	221 1.1×	51 0.4×	151 1.5×	7 0.1×	93	1.3k

Countries citing papers authored by Willy Gomm

Since Specialization

Citations

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

Fields of papers citing papers by Willy Gomm

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Willy Gomm

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

All Works

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16 of 16 papers shown

Becker, Cornelia, et al.. (2025). Dementia diagnosis and prescription of antidementia drugs: An analysis of German claims data (2006–2016). Journal of Alzheimer s Disease. 104(3). 698–708.

Gomm, Willy, Katrin Schüssel, H. Schröder, et al.. (2021). N-Nitrosodimethylamine-Contaminated Valsartan and the Risk of Cancer. Deutsches Ärzteblatt international. 118(21). 357–362. 6 indexed citations

Steffens, Michael, et al.. (2020). Influence of metabolic profiles on the safety of drug therapy in routine care in Germany: protocol of the cohort study EMPAR. BMJ Open. 10(4). e032624–e032624. 2 indexed citations

Haenisch, Britta, et al.. (2019). Glucocorticoid Therapy is Associated with a Lower Risk of Dementia. Journal of Alzheimer s Disease. 73(1). 175–183. 13 indexed citations

Gomm, Willy, et al.. (2018). Hyperuricemia and dementia – a case-control study. BMC Neurology. 18(1). 131–131. 19 indexed citations

Taipale, Heidi, Willy Gomm, Karl Broich, et al.. (2018). Use of Antiepileptic Drugs and Dementia Risk—an Analysis of Finnish Health Register and German Health Insurance Data. Journal of the American Geriatrics Society. 66(6). 1123–1129. 40 indexed citations

Gomm, Willy, Klaus von Holt, Karl Broich, et al.. (2016). Regular Benzodiazepine and Z-Substance Use and Risk of Dementia: An Analysis of German Claims Data. Journal of Alzheimer s Disease. 54(2). 801–808. 44 indexed citations

Gomm, Willy, Klaus von Holt, Karl Broich, et al.. (2016). Association of Proton Pump Inhibitors With Risk of Dementia. JAMA Neurology. 73(4). 410–410. 393 indexed citations breakdown →

Oldham, Michael J., et al.. (2011). Discriminatory power of standard toxicity assays used to evaluate ingredients added to cigarettes. Regulatory Toxicology and Pharmacology. 62(1). 49–61. 22 indexed citations

10.

Gomm, Willy, et al.. (2008). A Modelling Approach to Develop Machine Smoking Protocols Reflecting Human Puffing Behaviour for Conventional Cigarettes. Beiträge zur Tabakforschung international. 23(1). 8–18. 5 indexed citations

11.

Meurrens, Kris, Christopher R. E. Coggins, Willy Gomm, et al.. (2008). Toxicological Comparisons of Three Styles of a Commercial U.S. Cigarette (Marlboro®) with the 1R4F Reference Cigarette. Inhalation Toxicology. 20(7). 695–721. 28 indexed citations

12.

Miert, Erik Van, et al.. (2008). Evaluation of the micronucleus assay in bone marrow and peripheral blood of rats for the determination of cigarette mainstream-smoke activity. Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 652(2). 131–138. 13 indexed citations

13.

Meisgen, T.J., et al.. (2006). The mouse lymphoma thymidine kinase assay for the assessment and comparison of the mutagenic activity of cigarette mainstream smoke particulate phase. Toxicology. 227(3). 193–210. 41 indexed citations

14.

Vanscheeuwijck, Patrick, et al.. (2003). Toxicological evaluation of an electrically heated cigarette. Part 4: Subchronic inhalation toxicology. Journal of Applied Toxicology. 23(5). 349–362. 42 indexed citations

15.

Gomm, Willy, et al.. (1983). Werkstoffmechanische Beziehungen für die inelastische Festigkeitsanalyse am Beispiel des austenitischen Werkstoffs X 6 CrNi 18 11 (DIN 1.4948). Materialwissenschaft und Werkstofftechnik. 14(3). 91–97.

16.

Gomm, Willy. (1981). Stability analysis of explicit multirate methods. Mathematics and Computers in Simulation. 23(1). 34–50. 11 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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