Daniel G. Rudmann

1.5k total citations
28 papers, 1.0k citations indexed

About

Daniel G. Rudmann is a scholar working on Genetics, Molecular Biology and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Daniel G. Rudmann has authored 28 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Genetics, 9 papers in Molecular Biology and 4 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Daniel G. Rudmann's work include Virus-based gene therapy research (4 papers), Effects and risks of endocrine disrupting chemicals (4 papers) and Estrogen and related hormone effects (4 papers). Daniel G. Rudmann is often cited by papers focused on Virus-based gene therapy research (4 papers), Effects and risks of endocrine disrupting chemicals (4 papers) and Estrogen and related hormone effects (4 papers). Daniel G. Rudmann collaborates with scholars based in United States, Netherlands and Germany. Daniel G. Rudmann's co-authors include Mark W. Moore, Shawn M. Heidel, Jeffrey C. Hanson, James T. Alston, James M. Beck, Angela M. Preston, Kristin Wilson, Stephen K. Durham, Famke Aeffner and Nathan Martin and has published in prestigious journals such as The Journal of Immunology, Cancer Research and Endocrinology.

In The Last Decade

Daniel G. Rudmann

27 papers receiving 983 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel G. Rudmann United States 17 332 146 136 134 128 28 1.0k
Jun Suzuki Japan 24 621 1.9× 185 1.3× 108 0.8× 147 1.1× 312 2.4× 107 1.7k
Hiroto Hara Japan 19 661 2.0× 128 0.9× 215 1.6× 144 1.1× 108 0.8× 43 1.6k
Stephan Arni Switzerland 22 513 1.5× 108 0.7× 47 0.3× 198 1.5× 216 1.7× 67 1.5k
Laurie L. Shekels United States 19 712 2.1× 105 0.7× 102 0.8× 180 1.3× 254 2.0× 32 1.2k
Anna Vossenkämper United Kingdom 20 473 1.4× 172 1.2× 206 1.5× 113 0.8× 494 3.9× 28 1.2k
Lan Chen China 21 606 1.8× 122 0.8× 106 0.8× 146 1.1× 161 1.3× 52 1.3k
Jiafeng Liu China 15 548 1.7× 75 0.5× 156 1.1× 53 0.4× 95 0.7× 60 1.3k
Aoife Maguire Ireland 18 428 1.3× 101 0.7× 65 0.5× 279 2.1× 89 0.7× 34 1.0k
Yousef A. Fouad Egypt 10 429 1.3× 83 0.6× 90 0.7× 193 1.4× 73 0.6× 43 991
Xiang Wu China 19 456 1.4× 131 0.9× 76 0.6× 116 0.9× 113 0.9× 46 886

Countries citing papers authored by Daniel G. Rudmann

Since Specialization
Citations

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

Fields of papers citing papers by Daniel G. Rudmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel G. Rudmann

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel G. Rudmann. A scholar is included among the top collaborators of Daniel G. Rudmann 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 G. Rudmann. Daniel G. Rudmann 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.
Rudmann, Daniel G., et al.. (2025). Artificial Intelligence in Veterinary Clinical Pathology—An Introduction and Review. Veterinary Clinical Pathology. 54(S2). S13–S29.
2.
Rudmann, Daniel G., et al.. (2021). Proposal to Eliminate Urethane-Treated Positive Control Dose Groups in 26-Week Tg.rasH2 Carcinogenicity Studies. International Journal of Toxicology. 40(3). 207–210. 2 indexed citations
3.
Aeffner, Famke, Steven A. Moore, Joshua C. Black, et al.. (2018). Validation of a Muscle-Specific Tissue Image Analysis Tool for Quantitative Assessment of Dystrophin Staining in Frozen Muscle Biopsies. Archives of Pathology & Laboratory Medicine. 143(2). 197–205. 11 indexed citations
4.
Rudmann, Daniel G.. (2018). The Emergence of Microphysiological Systems (Organs-on-chips) as Paradigm-changing Tools for Toxicologic Pathology. Toxicologic Pathology. 47(1). 4–10. 18 indexed citations
5.
Aeffner, Famke, Kristin Wilson, Nathan Martin, et al.. (2017). The Gold Standard Paradox in Digital Image Analysis: Manual Versus Automated Scoring as Ground Truth. Archives of Pathology & Laboratory Medicine. 141(9). 1267–1275. 140 indexed citations
6.
Wilson, Kristin, Janet C. Patterson‐Kane, Daniel G. Rudmann, et al.. (2017). Duchenne and Becker Muscular Dystrophies: A Review of Animal Models, Clinical End Points, and Biomarker Quantification. Toxicologic Pathology. 45(7). 961–976. 44 indexed citations
7.
Bigley, Alison, et al.. (2016). Using Automated Image Analysis Algorithms to Distinguish Normal, Aberrant, and Degenerate Mitotic Figures Induced by Eg5 Inhibition. Toxicologic Pathology. 44(5). 663–672. 5 indexed citations
8.
Klymiuk, Nikolai, Frank Seeliger, Mohammad Bohlooly‐Y, et al.. (2015). Tailored Pig Models for Preclinical Efficacy and Safety Testing of Targeted Therapies. Toxicologic Pathology. 44(3). 346–357. 38 indexed citations
9.
Rudmann, Daniel G., James T. Alston, Jeffrey C. Hanson, & Shawn M. Heidel. (2013). High Molecular Weight Polyethylene Glycol Cellular Distribution and PEG-associated Cytoplasmic Vacuolation Is Molecular Weight Dependent and Does Not Require Conjugation to Proteins. Toxicologic Pathology. 41(7). 970–983. 142 indexed citations
10.
Rudmann, Daniel G.. (2012). On-target and Off-target-based Toxicologic Effects. Toxicologic Pathology. 41(2). 310–314. 92 indexed citations
11.
Rudmann, Daniel G., Todd J. Page, John L. Vahle, et al.. (2011). Rat-Specific Decreases in Platelet Count Caused by a Humanized Monoclonal Antibody Against Sclerostin. Toxicological Sciences. 125(2). 586–594. 10 indexed citations
12.
Engle, Steven K., William H. Jordan, Alan Y. Chiang, et al.. (2009). Qualification of Cardiac Troponin I Concentration in Mouse Serum Using Isoproterenol and Implementation in Pharmacology Studies to Accelerate Drug Development. Toxicologic Pathology. 37(5). 617–628. 35 indexed citations
13.
Geiser, Andrew G., Conrad W. Hummel, Michael W. Draper, et al.. (2005). A New Selective Estrogen Receptor Modulator with Potent Uterine Antagonist Activity, Agonist Activity in Bone, and Minimal Ovarian Stimulation. Endocrinology. 146(10). 4524–4535. 42 indexed citations
14.
Hummel, Conrad W., Andrew G. Geiser, Henry U. Bryant, et al.. (2005). A Selective Estrogen Receptor Modulator Designed for the Treatment of Uterine Leiomyoma with Unique Tissue Specificity for Uterus and Ovaries in Rats. Journal of Medicinal Chemistry. 48(22). 6772–6775. 43 indexed citations
15.
Rudmann, Daniel G., et al.. (2004). Epididymal and Systemic Phospholipidosis in Rats and Dogs Treated with the Dopamine D3 Selective Antagonist PNU-177864. Toxicologic Pathology. 32(3). 326–332. 15 indexed citations
16.
Rudmann, Daniel G., et al.. (2003). Necrotizing Enterotyphlocolitis in Dogs Treated with a Potent Antimuscarinic. Veterinary Pathology. 40(6). 710–713. 3 indexed citations
17.
Rudmann, Daniel G. & Stephen K. Durham. (1999). Utilization of Genetically Altered Animals in the Pharmaceutical Industry. Toxicologic Pathology. 27(1). 111–114. 30 indexed citations
18.
Rudmann, Daniel G., Angela M. Preston, Mark W. Moore, & James M. Beck. (1998). Susceptibility to Pneumocystis carinii in Mice Is Dependent on Simultaneous Deletion of IFN-γ and Type 1 and 2 TNF Receptor Genes. The Journal of Immunology. 161(1). 360–366. 59 indexed citations
19.
Rudmann, Daniel G., et al.. (1996). Pulmonary and Mediastinal Metastases of a Vaccination-site Sarcoma in a Cat. Veterinary Pathology. 33(4). 466–469. 20 indexed citations
20.
Rudmann, Daniel G., et al.. (1992). Evaluation of risk factors for blastomycosis in dogs: 857 cases (1980-1990). Journal of the American Veterinary Medical Association. 201(11). 1754–1759. 20 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

Breakdown of academic impact, for papers by Jun Suzuki Breakdown of academic impact, for papers by Hiroto Hara Breakdown of academic impact, for papers by Stephan Arni Breakdown of academic impact, for papers by Laurie L. Shekels Breakdown of academic impact, for papers by Anna Vossenkämper Breakdown of academic impact, for papers by Lan Chen Breakdown of academic impact, for papers by Jiafeng Liu Breakdown of academic impact, for papers by Aoife Maguire Breakdown of academic impact, for papers by Yousef A. Fouad Breakdown of academic impact, for papers by Xiang Wu
Rankless by CCL
2026