Michael C. Rudolph

5.0k total citations · 2 hit papers
79 papers, 3.7k citations indexed

About

Michael C. Rudolph is a scholar working on Nutrition and Dietetics, Molecular Biology and Physiology. According to data from OpenAlex, Michael C. Rudolph has authored 79 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Nutrition and Dietetics, 21 papers in Molecular Biology and 15 papers in Physiology. Recurrent topics in Michael C. Rudolph's work include Fatty Acid Research and Health (19 papers), Adipose Tissue and Metabolism (13 papers) and Infant Nutrition and Health (10 papers). Michael C. Rudolph is often cited by papers focused on Fatty Acid Research and Health (19 papers), Adipose Tissue and Metabolism (13 papers) and Infant Nutrition and Health (10 papers). Michael C. Rudolph collaborates with scholars based in United States, Germany and United Kingdom. Michael C. Rudolph's co-authors include Steven M. Anderson, Margaret Neville, James L. McManaman, E. Dale Abel, Amanda Nichols, Ryan D. Michalek, Laura P. Hale, Benny J. Chen, Valerie A. Gerriets and Andrew N. Macintyre and has published in prestigious journals such as New England Journal of Medicine, Nature Communications and PLoS ONE.

In The Last Decade

Michael C. Rudolph

76 papers receiving 3.6k 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.

The Glucose Transporter Glut1 Is Selectively Essential for CD4 T Cell Activation and Effector Function

2014 887 citations Michael C. Rudolph, Steven M. Anderson et al. profile →
Dermal Adipocyte Lipolysis and Myofibroblast Conversion Are Required for Efficient Skin Repair

2020 196 citations Michael C. Rudolph et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael C. Rudolph United States	27	1.4k	768	750	727	604	79	3.7k
Martı́n G. Martı́n United States	34	1.2k 0.9×	452 0.6×	508 0.7×	238 0.3×	964 1.6×	97	3.9k
Attila Szántó Hungary	30	2.0k 1.5×	175 0.2×	725 1.0×	509 0.7×	419 0.7×	67	3.3k
Yin Xia China	31	1.8k 1.3×	1.1k 1.4×	236 0.3×	309 0.4×	352 0.6×	132	4.6k
Cheng Yang China	42	2.7k 2.0×	129 0.2×	841 1.1×	475 0.7×	334 0.6×	222	5.6k
Sophie Rome France	35	2.8k 2.1×	355 0.5×	579 0.8×	1.5k 2.1×	373 0.6×	78	5.1k
Masao Nakagawa Japan	43	1.9k 1.4×	167 0.2×	1.3k 1.7×	491 0.7×	349 0.6×	462	7.3k
Jun Guo United States	32	2.3k 1.7×	265 0.3×	252 0.3×	306 0.4×	452 0.7×	118	3.8k
Wei Sun United States	23	3.1k 2.3×	257 0.3×	243 0.3×	943 1.3×	948 1.6×	124	4.6k
Paula M. Oliver United States	22	1.5k 1.1×	179 0.2×	918 1.2×	194 0.3×	278 0.5×	28	3.7k
Jun Gong China	32	1.9k 1.4×	105 0.1×	633 0.8×	613 0.8×	225 0.4×	96	3.5k

Countries citing papers authored by Michael C. Rudolph

Since Specialization

Citations

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

Fields of papers citing papers by Michael C. Rudolph

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael C. Rudolph. 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 Michael C. Rudolph. The network helps show where Michael C. Rudolph may publish in the future.

Co-authorship network of co-authors of Michael C. Rudolph

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

All Works

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20 of 20 papers shown

Varshney, Rohan, et al.. (2025). Activating nuclear receptor subfamily 2 group F member 2 in adipocyte stem cells rescues beige adipocyte metabolism impaired by excess early-life omega-6 fatty acids. Clinical Nutrition. 51. 63–80. 2 indexed citations

Wing, Allison, Elise Jeffery, Christopher Church, et al.. (2025). Dietary oleic acid drives obesogenic adipogenesis via modulation of LXRα signaling. Cell Reports. 44(4). 115527–115527.

Mukhuty, Alpana, et al.. (2024). Adipocyte Mitochondria: Deciphering Energetic Functions across Fat Depots in Obesity and Type 2 Diabetes. International Journal of Molecular Sciences. 25(12). 6681–6681. 11 indexed citations

Johnson, Kelsey E., Nelmary Hernandez-Alvarado, Mark Blackstad, et al.. (2024). Human cytomegalovirus in breast milk is associated with milk composition and the infant gut microbiome and growth. Nature Communications. 15(1). 6216–6216. 3 indexed citations

Mohammed, Sabira, Nidheesh Thadathil, Albert Tran, et al.. (2024). Non-Necroptotic Roles of MLKL in Diet-Induced Obesity, Liver Pathology, and Insulin Sensitivity: Insights from a High-Fat, High-Fructose, High-Cholesterol Diet Mouse Model. International Journal of Molecular Sciences. 25(5). 2813–2813. 4 indexed citations

Mullen, Gregory P., et al.. (2024). Key questions and gaps in understanding adipose tissue macrophages and early-life metabolic programming. American Journal of Physiology-Endocrinology and Metabolism. 327(4). E478–E497. 3 indexed citations

Knaub, Leslie A., Gregory B. Pott, Benjamin F. Miller, et al.. (2023). Sex Differences in the Skeletal Muscle Response to a High Fat, High Sucrose Diet in Rats. Nutrients. 15(20). 4438–4438. 6 indexed citations

Young, Bridget E., et al.. (2022). Infant Red Blood Cell Arachidonic to Docosahexaenoic Acid Ratio Inversely Associates with Fat-Free Mass Independent of Breastfeeding Exclusivity. Nutrients. 14(20). 4238–4238. 4 indexed citations

Rudolph, Michael C., Matthew R. Jackman, Ken Jones, et al.. (2022). Short-Term Adaptations in Skeletal Muscle Mitochondrial Oxidative Capacity and Metabolic Pathways to Breaking up Sedentary Behaviors in Overweight or Obese Adults. Nutrients. 14(3). 454–454. 5 indexed citations

10.

Trahan, G. Devon, Gregory P. Mullen, David M. Presby, et al.. (2022). Neonatal intake of Omega-3 fatty acids enhances lipid oxidation in adipocyte precursors. iScience. 26(1). 105750–105750. 14 indexed citations

11.

Carli, Jayne F. Martin, G. Devon Trahan, & Michael C. Rudolph. (2021). Resolving Human Lactation Heterogeneity Using Single Milk-Derived Cells, a Resource at the Ready. Journal of Mammary Gland Biology and Neoplasia. 26(1). 3–8. 2 indexed citations

12.

Carli, Jayne F. Martin, G. Devon Trahan, Kenneth L. Jones, et al.. (2020). Single Cell RNA Sequencing of Human Milk-Derived Cells Reveals Sub-Populations of Mammary Epithelial Cells with Molecular Signatures of Progenitor and Mature States: a Novel, Non-invasive Framework for Investigating Human Lactation Physiology. Journal of Mammary Gland Biology and Neoplasia. 25(4). 367–387. 39 indexed citations

13.

Young, Christian D., Li Bian, Kelsey Weigel, et al.. (2020). PARP Inhibition Enhances Radiotherapy of SMAD4-Deficient Human Head and Neck Squamous Cell Carcinomas in Experimental Models. Clinical Cancer Research. 26(12). 3058–3070. 25 indexed citations

14.

Lee, Sanghee, Balachandar Nedumaran, Joseph Hypolite, et al.. (2019). Differential neurodegenerative phenotypes are associated with heterogeneous voiding dysfunction in a coronavirus-induced model of multiple sclerosis. Scientific Reports. 9(1). 10869–10869. 10 indexed citations

15.

Rudolph, Michael C., Elizabeth A. Wellberg, Erin D. Giles, et al.. (2017). Metformin Accumulation Correlates with Organic Cation Transporter 2 Protein Expression and Predicts Mammary Tumor Regression In Vivo. Cancer Prevention Research. 10(3). 198–207. 35 indexed citations

16.

Rudolph, Michael C., Matthew R. Jackman, David M. Presby, et al.. (2017). Low Neonatal Plasma n-6/n-3 PUFA Ratios Regulate Offspring Adipogenic Potential and Condition Adult Obesity Resistance. Diabetes. 67(4). 651–661. 38 indexed citations

17.

Rudolph, Michael C., Bridget E. Young, Dominick J. Lemas, et al.. (2016). Early infant adipose deposition is positively associated with the n-6 to n-3 fatty acid ratio in human milk independent of maternal BMI. International Journal of Obesity. 41(4). 510–517. 79 indexed citations

18.

Brauweiler, Anne, et al.. (2010). The TRC8 Ubiquitin Ligase Is Sterol Regulated and Interacts with Lipid and Protein Biosynthetic Pathways. Molecular Cancer Research. 8(1). 93–106. 61 indexed citations

19.

Anderson, Steven M., Michael C. Rudolph, James L. McManaman, & Margaret Neville. (2007). Key stages in mammary gland development. Secretory activation in the mammary gland: it's not just about milk protein synthesis!. Breast Cancer Research. 9(1). 204–204. 296 indexed citations

20.

Fichtner, Iduna, Regina Reszka, Michael C. Rudolph, et al.. (1993). Carboplatin-liposomes as activators of hematopoiesis.. PubMed. 5(2). 65–74. 5 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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