Helen Chim

1.8k total citations · 1 hit paper
8 papers, 1.5k citations indexed

About

Helen Chim is a scholar working on Molecular Biology, Physiology and Geriatrics and Gerontology. According to data from OpenAlex, Helen Chim has authored 8 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Physiology and 2 papers in Geriatrics and Gerontology. Recurrent topics in Helen Chim's work include Metabolism, Diabetes, and Cancer (3 papers), Adipose Tissue and Metabolism (3 papers) and Genomics, phytochemicals, and oxidative stress (2 papers). Helen Chim is often cited by papers focused on Metabolism, Diabetes, and Cancer (3 papers), Adipose Tissue and Metabolism (3 papers) and Genomics, phytochemicals, and oxidative stress (2 papers). Helen Chim collaborates with scholars based in United States and Switzerland. Helen Chim's co-authors include Pere Puigserver, Ji‐Hong Lim, Francisca Vázquez, Kerry A. Pierce, Clary B. Clish, John E. Dominy, Scott R. Granter, Hans R. Widlund, Bruce M. Spiegelman and Kavita Bhalla and has published in prestigious journals such as Nature, Molecular Cell and Molecular and Cellular Biology.

In The Last Decade

Helen Chim

8 papers receiving 1.4k 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.

PGC1α Expression Defines a Subset of Human Melanoma Tumors with Increased Mitochondrial Capacity and Resistance to Oxidative Stress

2013 550 citations Francisca Vázquez, Ji‐Hong Lim et al. Cancer Cell profile →

Peers

Helen Chim

MB

CR

PHYSI

GG

EPIDE

Gino Boily Canada

Gaëlle Laurent United States

Jaewon J. Lee United States

Lidia Villanova Italy

Enza Vernucci Italy

Kjerstin M. Owens United States

De‐Long Hao China

Bárbara Martínez-Pastor United States

Hanzhi Luo United States

Bong‐Hyun Ahn South Korea

Gino Boily Canada

Helen Chim

806 ×0.9

MB

400 ×1.1

CR

370 ×1.1

PHYSI

431 ×1.3

GG

302 ×1.1

EPIDE

Citations per year, relative to Helen Chim Helen Chim (= 1×) peers Gino Boily

Countries citing papers authored by Helen Chim

Since Specialization

Citations

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

Fields of papers citing papers by Helen Chim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Helen Chim

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

All Works

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8 of 8 papers shown

1.

Lee, Yoon‐Jin, John E. Dominy, Yoon Jong Choi, et al.. (2014). Cyclin D1–Cdk4 controls glucose metabolism independently of cell cycle progression. Nature. 510(7506). 547–551. 184 indexed citations

2.

Cooper, M. R., et al.. (2014). Ceritinib. Annals of Pharmacotherapy. 49(1). 107–112. 37 indexed citations

3.

Verdeguer, Francisco, Sharon M. Blättler, John T. Cunningham, et al.. (2014). Decreased Genetic Dosage of Hepatic Yin Yang 1 Causes Diabetic-Like Symptoms. Molecular Endocrinology. 28(3). 308–316. 11 indexed citations

4.

Vázquez, Francisca, Ji‐Hong Lim, Helen Chim, et al.. (2013). PGC1α Expression Defines a Subset of Human Melanoma Tumors with Increased Mitochondrial Capacity and Resistance to Oxidative Stress. Cancer Cell. 23(3). 287–301. 550 indexed citations breakdown →

5.

Blättler, Sharon M., John T. Cunningham, Francisco Verdeguer, et al.. (2012). Yin Yang 1 Deficiency in Skeletal Muscle Protects against Rapamycin-Induced Diabetic-like Symptoms through Activation of Insulin/IGF Signaling. Cell Metabolism. 15(4). 505–517. 85 indexed citations

6.

Dominy, John E., Yoon‐Jin Lee, Mark P. Jedrychowski, et al.. (2012). The Deacetylase Sirt6 Activates the Acetyltransferase GCN5 and Suppresses Hepatic Gluconeogenesis. Molecular Cell. 48(6). 900–913. 230 indexed citations

7.

Blättler, Sharon M., Francisco Verdeguer, Marc Liesa, et al.. (2012). Defective Mitochondrial Morphology and Bioenergetic Function in Mice Lacking the Transcription Factor Yin Yang 1 in Skeletal Muscle. Molecular and Cellular Biology. 32(16). 3333–3346. 76 indexed citations

8.

Gerhart‐Hines, Zachary, John E. Dominy, Sharon M. Blättler, et al.. (2011). The cAMP/PKA Pathway Rapidly Activates SIRT1 to Promote Fatty Acid Oxidation Independently of Changes in NAD+. Molecular Cell. 44(6). 851–863. 280 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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