Todd Hager

2.0k total citations · 1 hit paper
14 papers, 1.2k citations indexed

About

Todd Hager is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Todd Hager has authored 14 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Todd Hager's work include Fibroblast Growth Factor Research (6 papers), Epigenetics and DNA Methylation (5 papers) and Kruppel-like factors research (5 papers). Todd Hager is often cited by papers focused on Fibroblast Growth Factor Research (6 papers), Epigenetics and DNA Methylation (5 papers) and Kruppel-like factors research (5 papers). Todd Hager collaborates with scholars based in United States, United Kingdom and Switzerland. Todd Hager's co-authors include Murielle M. Véniant, Jing Xu, Shanaka Stanislaus, Randy Hecht, Yang Li, Narumol Chinookoswong, Richard Lindberg, Hongfei Ge, Shu-Chen Lu and Yuesheng Li and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Analytical Chemistry.

In The Last Decade

Todd Hager

14 papers receiving 1.1k 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.

A GIPR antagonist conjugated to GLP-1 analogues promotes weight loss with improved metabolic parameters in preclinical and phase 1 settings

2024 115 citations Murielle M. Véniant, Shu-Chen Lu et al. Nature Metabolism profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Todd Hager United States	10	898	274	151	150	127	14	1.2k
Shu-Chen Lu United States	9	413 0.5×	238 0.9×	122 0.8×	143 1.0×	62 0.5×	13	697
Stephanie Oldham United States	15	281 0.3×	246 0.9×	164 1.1×	208 1.4×	373 2.9×	26	889
Jette Nowak Denmark	10	324 0.4×	517 1.9×	178 1.2×	89 0.6×	79 0.6×	20	675
Akira Matsutani Japan	18	428 0.5×	210 0.8×	452 3.0×	116 0.8×	93 0.7×	37	840
Snehal Desai United States	7	423 0.5×	82 0.3×	186 1.2×	153 1.0×	94 0.7×	15	813
Rita P. S. Middelberg Australia	12	251 0.3×	167 0.6×	150 1.0×	139 0.9×	72 0.6×	18	797
B Ermel Germany	13	620 0.7×	220 0.8×	247 1.6×	195 1.3×	61 0.5×	14	805
Nobuo Nyui Japan	15	378 0.4×	376 1.4×	97 0.6×	307 2.0×	35 0.3×	28	1.0k
Sylvie Péraldi‐Roux France	17	294 0.3×	319 1.2×	136 0.9×	264 1.8×	54 0.4×	41	885
B. Obermaier–Kusser Germany	20	750 0.8×	155 0.6×	156 1.0×	164 1.1×	47 0.4×	28	925

Countries citing papers authored by Todd Hager

Since Specialization

Citations

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

Fields of papers citing papers by Todd Hager

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Todd Hager

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

All Works

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14 of 14 papers shown

Véniant, Murielle M., Shu-Chen Lu, Larissa Atangan, et al.. (2024). A GIPR antagonist conjugated to GLP-1 analogues promotes weight loss with improved metabolic parameters in preclinical and phase 1 settings. Nature Metabolism. 6(2). 290–303. 115 indexed citations breakdown →

Lu, Shu-Chen, Michelle Chen, Larissa Atangan, et al.. (2021). GIPR antagonist antibodies conjugated to GLP-1 peptide are bispecific molecules that decrease weight in obese mice and monkeys. Cell Reports Medicine. 2(5). 100263–100263. 71 indexed citations

Hu, Essa, Fang‐Tsao Hong, Derek E. Piper, et al.. (2021). Discovery of Selective Pituitary Adenylate Cyclase 1 Receptor (PAC1R) Antagonist Peptides Potent in a Maxadilan/PACAP38-Induced Increase in Blood Flow Pharmacodynamic Model. Journal of Medicinal Chemistry. 64(6). 3427–3438. 6 indexed citations

Killion, Elizabeth A., Michelle Chen, James R. Falsey, et al.. (2020). Chronic glucose-dependent insulinotropic polypeptide receptor (GIPR) agonism desensitizes adipocyte GIPR activity mimicking functional GIPR antagonism. Nature Communications. 11(1). 110 indexed citations

Stanislaus, Shanaka, Randy Hecht, Junming Yie, et al.. (2017). A Novel Fc-FGF21 With Improved Resistance to Proteolysis, Increased Affinity Toward β-Klotho, and Enhanced Efficacy in Mice and Cynomolgus Monkeys. Endocrinology. 158(5). 1314–1327. 81 indexed citations

Salimi-Moosavi, Hossein, et al.. (2014). A multifactorial screening strategy to identify anti-idiotypic reagents for bioanalytical support of antibody therapeutics. Analytical Biochemistry. 470. 52–60. 5 indexed citations

Hager, Todd, Chris Spahr, Jing Xu, Hossein Salimi-Moosavi, & Michael Hall. (2013). Differential Enzyme-Linked Immunosorbent Assay and Ligand-Binding Mass Spectrometry for Analysis of Biotransformation of Protein Therapeutics: Application to Various FGF21 Modalities. Analytical Chemistry. 85(5). 2731–2738. 51 indexed citations

Watson, Andrew D., et al.. (2012). Implementation of A Universal Analytical Method in Early-Stage Development of Human Antibody Therapeutics: Application to Pharmacokinetic Assessment For Candidate Selection. Bioanalysis. 4(19). 2357–2365. 11 indexed citations

Véniant, Murielle M., Renée Komorowski, Ping Chen, et al.. (2012). Long-Acting FGF21 Has Enhanced Efficacy in Diet-Induced Obese Mice and in Obese Rhesus Monkeys. Endocrinology. 153(9). 4192–4203. 124 indexed citations

10.

Hale, Clarence, Michelle Chen, Shanaka Stanislaus, et al.. (2011). Lack of Overt FGF21 Resistance in Two Mouse Models of Obesity and Insulin Resistance. Endocrinology. 153(1). 69–80. 150 indexed citations

11.

Wu, Xinle, Hongfei Ge, Bryan D. Lemon, et al.. (2009). FGF19-induced Hepatocyte Proliferation Is Mediated through FGFR4 Activation. Journal of Biological Chemistry. 285(8). 5165–5170. 151 indexed citations

12.

Xu, Jing, Shanaka Stanislaus, Narumol Chinookoswong, et al.. (2009). Acute glucose-lowering and insulin-sensitizing action of FGF21 in insulin-resistant mouse models—association with liver and adipose tissue effects. American Journal of Physiology-Endocrinology and Metabolism. 297(5). E1105–E1114. 289 indexed citations

13.

Shen, Yong, Michael Ewers, Stefan Teipel, et al.. (2006). S4–01–03: Beta–secretase (BACE1) as a predictor of risk in Alzheimer disease: High levels of BACE1 in cerebrospinal fluid of mild cognitive impairment. Alzheimer s & Dementia. 2(3S_Part_3). 1 indexed citations

14.

Pozo, E. del, H. U. Gubler, Romain Perrelet, Todd Hager, & Karl‐Heinz Wiederhold. (1988). Non-Invasive Quantitative Estimation of Bone Density in Rats Throughout the Life Cycle and in Arthritic Osteopenia: Preliminary Results. Hormone and Metabolic Research. 20(10). 630–632. 7 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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