Ryan M. Esquejo

1.4k total citations
9 papers, 706 citations indexed

About

Ryan M. Esquejo is a scholar working on Molecular Biology, Surgery and Physiology. According to data from OpenAlex, Ryan M. Esquejo has authored 9 papers receiving a total of 706 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Surgery and 5 papers in Physiology. Recurrent topics in Ryan M. Esquejo's work include Cholesterol and Lipid Metabolism (3 papers), Nutrition and Health in Aging (3 papers) and Adipose Tissue and Metabolism (3 papers). Ryan M. Esquejo is often cited by papers focused on Cholesterol and Lipid Metabolism (3 papers), Nutrition and Health in Aging (3 papers) and Adipose Tissue and Metabolism (3 papers). Ryan M. Esquejo collaborates with scholars based in United States, United Kingdom and Spain. Ryan M. Esquejo's co-authors include Peter E. Phelan, Manuel Roqueta‐Rivera, Timothy F. Osborne, David Vicent, Andrés Sánchez Pernaute, Miguel A. Rubio, Ji Miao, Mark J. Graham, Praveen V. Manthena and Gumersindo Fernández Vázquez and has published in prestigious journals such as Nature Medicine, Nature Communications and Cell Metabolism.

In The Last Decade

Ryan M. Esquejo

9 papers receiving 697 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ryan M. Esquejo United States	8	417	293	109	106	93	9	706
Carlos Bocos Spain	18	459 1.1×	225 0.8×	258 2.4×	82 0.8×	31 0.3×	50	895
Elisa Balboa Chile	14	283 0.7×	285 1.0×	88 0.8×	88 0.8×	44 0.5×	20	748
Min Jeong Choi South Korea	13	271 0.6×	346 1.2×	100 0.9×	48 0.5×	181 1.9×	24	830
Alois Sellmayer Germany	20	380 0.9×	168 0.6×	95 0.9×	163 1.5×	22 0.2×	34	1.1k
Guowei Zhou China	15	226 0.5×	62 0.2×	83 0.8×	72 0.7×	68 0.7×	44	620
Sujie Jia China	15	271 0.6×	144 0.5×	35 0.3×	69 0.7×	56 0.6×	32	715
Lihua Li China	17	306 0.7×	95 0.3×	99 0.9×	79 0.7×	41 0.4×	42	717
Vasumathi T. Reddy United States	8	470 1.1×	241 0.8×	174 1.6×	320 3.0×	33 0.4×	8	975
Shany Blum Israel	14	246 0.6×	197 0.7×	135 1.2×	209 2.0×	18 0.2×	21	1.0k
Barbara Brunmair Austria	13	817 2.0×	437 1.5×	177 1.6×	219 2.1×	16 0.2×	27	1.1k

Countries citing papers authored by Ryan M. Esquejo

Since Specialization

Citations

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

Fields of papers citing papers by Ryan M. Esquejo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryan M. Esquejo. 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 Ryan M. Esquejo. The network helps show where Ryan M. Esquejo may publish in the future.

Co-authorship network of co-authors of Ryan M. Esquejo

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

All Works

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9 of 9 papers shown

Esquejo, Ryan M., Bina Albuquerque, Anna Sher, et al.. (2022). AMPK activation is sufficient to increase skeletal muscle glucose uptake and glycogen synthesis but is not required for contraction-mediated increases in glucose metabolism. Heliyon. 8(10). e11091–e11091. 9 indexed citations

Saxena, Aditi R., Donal Gorman, Ryan M. Esquejo, et al.. (2021). Danuglipron (PF-06882961) in type 2 diabetes: a randomized, placebo-controlled, multiple ascending-dose phase 1 trial. Nature Medicine. 27(6). 1079–1087. 98 indexed citations

Breen, Danna M., Hanna Kim, Donald Bennett, et al.. (2020). GDF-15 Neutralization Alleviates Platinum-Based Chemotherapy-Induced Emesis, Anorexia, and Weight Loss in Mice and Nonhuman Primates. Cell Metabolism. 32(6). 938–950.e6. 115 indexed citations

Wu, Zhidan, Donald Bennett, Julia Brosnan, et al.. (2020). 2O Growth differentiation factor 15 (GDF-15) neutralization reverses cancer cachexia, restores physical performance and mitigates emesis associated with platinum-based chemotherapy. Annals of Oncology. 31. S245–S245. 4 indexed citations

Esquejo, Ryan M., Manuel Roqueta‐Rivera, Wei Shao, et al.. (2020). Dipyridamole Inhibits Lipogenic Gene Expression by Retaining SCAP-SREBP in the Endoplasmic Reticulum. Cell chemical biology. 28(2). 169–179.e7. 17 indexed citations

Bernardo, Barbara, Magalie Boucher, Christopher Houle, et al.. (2020). Characterization of cachexia in the human fibrosarcoma HT‐1080 mouse tumour model. Journal of Cachexia Sarcopenia and Muscle. 11(6). 1813–1829. 15 indexed citations

Roqueta‐Rivera, Manuel, Ryan M. Esquejo, Peter E. Phelan, et al.. (2016). SETDB2 Links Glucocorticoid to Lipid Metabolism through Insig2a Regulation. Cell Metabolism. 24(3). 474–484. 47 indexed citations

Miao, Ji, Praveen V. Manthena, Mary Gearing, et al.. (2015). Flavin-containing monooxygenase 3 as a potential player in diabetes-associated atherosclerosis. Nature Communications. 6(1). 6498–6498. 298 indexed citations

Jeon, Tae-Il, Ryan M. Esquejo, Manuel Roqueta‐Rivera, et al.. (2013). An SREBP-Responsive microRNA Operon Contributes to a Regulatory Loop for Intracellular Lipid Homeostasis. Cell Metabolism. 18(1). 51–61. 103 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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