Chandra L. Theesfeld

11.1k total citations · 2 hit papers
34 papers, 3.3k citations indexed

About

Chandra L. Theesfeld is a scholar working on Molecular Biology, Cell Biology and Genetics. According to data from OpenAlex, Chandra L. Theesfeld has authored 34 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 5 papers in Cell Biology and 5 papers in Genetics. Recurrent topics in Chandra L. Theesfeld's work include Fungal and yeast genetics research (8 papers), Bioinformatics and Genomic Networks (7 papers) and Gene expression and cancer classification (7 papers). Chandra L. Theesfeld is often cited by papers focused on Fungal and yeast genetics research (8 papers), Bioinformatics and Genomic Networks (7 papers) and Gene expression and cancer classification (7 papers). Chandra L. Theesfeld collaborates with scholars based in United States, Norway and Sweden. Chandra L. Theesfeld's co-authors include Olga G. Troyanskaya, Daniel J. Lew, Aaron K. Wong, Jian Zhou, Kara Dolinski, John N. McMillan, Kevin Yao, Kathleen Chen, Mark S. Longtine and John R. Pringle and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Chandra L. Theesfeld

32 papers receiving 3.2k 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 BioGRID interaction database: 2017 update

2016 705 citations Andrew Chatr‐aryamontri, Rose Oughtred et al. Nucleic Acids Research profile →
Deep learning sequence-based ab initio prediction of variant effects on expression and disease risk

2018 332 citations Jian Zhou, Chandra L. Theesfeld et al. Nature Genetics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chandra L. Theesfeld United States	21	2.6k	515	494	260	214	34	3.3k
Susana R. Neves United States	21	1.6k 0.6×	171 0.3×	306 0.6×	78 0.3×	76 0.4×	38	2.5k
Susana de la Luna Spain	39	2.3k 0.9×	651 1.3×	281 0.6×	153 0.6×	62 0.3×	68	3.6k
Peter Cheung Canada	32	5.0k 1.9×	588 1.1×	610 1.2×	665 2.6×	47 0.2×	49	6.1k
Yuxing Liao United States	13	2.1k 0.8×	386 0.7×	235 0.5×	422 1.6×	34 0.2×	25	3.2k
Miriam Barrios‐Rodiles Canada	19	2.4k 0.9×	255 0.5×	599 1.2×	295 1.1×	71 0.3×	25	3.1k
Helin Dong United States	7	3.2k 1.3×	459 0.9×	176 0.4×	232 0.9×	33 0.2×	7	4.2k
Mary N. Teruel United States	27	2.8k 1.1×	247 0.5×	1.1k 2.3×	118 0.5×	142 0.7×	39	3.9k
Dale L. Bodian United States	24	1.5k 0.6×	747 1.5×	114 0.2×	323 1.2×	134 0.6×	44	3.1k
Francis S. Willard United States	42	4.1k 1.6×	239 0.5×	881 1.8×	95 0.4×	123 0.6×	91	5.5k
Glen A. Evans United States	36	2.3k 0.9×	861 1.7×	205 0.4×	268 1.0×	97 0.5×	80	4.0k

Countries citing papers authored by Chandra L. Theesfeld

Since Specialization

Citations

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

Fields of papers citing papers by Chandra L. Theesfeld

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chandra L. Theesfeld. 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 Chandra L. Theesfeld. The network helps show where Chandra L. Theesfeld may publish in the future.

Co-authorship network of co-authors of Chandra L. Theesfeld

This figure shows the co-authorship network connecting the top 25 collaborators of Chandra L. Theesfeld. A scholar is included among the top collaborators of Chandra L. Theesfeld 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 Chandra L. Theesfeld. Chandra L. Theesfeld 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

Lee, Eun-Mi, Yong Wei, Xiang Hang, et al.. (2025). CXCR4+ mammary gland macrophageal niche promotes tumor initiating cell activity and immune suppression during tumorigenesis. Nature Communications. 16(1). 4854–4854. 3 indexed citations

Cofer, Evan M., Xinyang Bing, Chandra L. Theesfeld, et al.. (2025). 3D chromatin structures precede genome activation in Drosophila embryogenesis. Cell Genomics. 5(11). 101002–101002.

Theesfeld, Chandra L., et al.. (2023). Atlas of primary cell-type-specific sequence models of gene expression and variant effects. Cell Reports Methods. 3(9). 100580–100580. 7 indexed citations

Wong, Aaron K., Rachel Sealfon, Chandra L. Theesfeld, & Olga G. Troyanskaya. (2021). Decoding disease: from genomes to networks to phenotypes. Nature Reviews Genetics. 22(12). 774–790. 51 indexed citations

Chen, Xi, Jian Zhou, Ran Zhang, et al.. (2021). Tissue-specific enhancer functional networks for associating distal regulatory regions to disease. Cell Systems. 12(4). 353–362.e6. 20 indexed citations

Menon, Rajasree, Edgar A. Otto, Rachel Sealfon, et al.. (2020). SARS-CoV-2 Receptor Networks in Diabetic Kidney Disease, BK Virus Nephropathy, and COVID-19 Associated AKI. Journal of the American Society of Nephrology. 31(10S). 31–31. 1 indexed citations

Graim, Kiley, David G. Robinson, Nicholas Carriero, et al.. (2020). Modeling molecular development of breast cancer in canine mammary tumors. Genome Research. 31(2). 337–347. 12 indexed citations

Lee, Young-Suk, Arjun Krishnan, Rose Oughtred, et al.. (2019). A Computational Framework for Genome-wide Characterization of the Human Disease Landscape. Cell Systems. 8(2). 152–162.e6. 19 indexed citations

Zhou, Jian, Ignacio E. Schor, Vicky Yao, et al.. (2019). Accurate genome-wide predictions of spatio-temporal gene expression during embryonic development. PLoS Genetics. 15(9). e1008382–e1008382. 4 indexed citations

10.

Zhou, Jian, Chandra L. Theesfeld, Kevin Yao, et al.. (2018). Deep learning sequence-based ab initio prediction of variant effects on expression and disease risk. Nature Genetics. 50(8). 1171–1179. 332 indexed citations breakdown →

11.

Sun, Song, Fan Yang, Guihong Tan, et al.. (2016). An extended set of yeast-based functional assays accurately identifies human disease mutations. Genome Research. 26(5). 670–680. 68 indexed citations

12.

Krishnan, Arjun, Ran Zhang, Vicky Yao, et al.. (2016). Genome-wide prediction and functional characterization of the genetic basis of autism spectrum disorder. Nature Neuroscience. 19(11). 1454–1462. 265 indexed citations

13.

Chatr‐aryamontri, Andrew, Rose Oughtred, Lorrie Boucher, et al.. (2016). The BioGRID interaction database: 2017 update. Nucleic Acids Research. 45(D1). D369–D379. 705 indexed citations breakdown →

14.

Theesfeld, Chandra L., et al.. (2011). The Sterol-sensing Domain (SSD) Directly Mediates Signal-regulated Endoplasmic Reticulum-associated Degradation (ERAD) of 3-Hydroxy-3-methylglutaryl (HMG)-CoA Reductase Isozyme Hmg2. Journal of Biological Chemistry. 286(30). 26298–26307. 35 indexed citations

15.

Myers, Chad L., Drew N. Robson, Matthew Hibbs, et al.. (2005). Discovery of biological networks from diverse functional genomic data. Genome biology. 6(13). R114–R114. 161 indexed citations

16.

Irazoqui, Javier E., Audrey S. Howell, Chandra L. Theesfeld, & Daniel J. Lew. (2004). Opposing Roles for Actin in Cdc42p Polarization. Molecular Biology of the Cell. 16(3). 1296–1304. 64 indexed citations

17.

Theesfeld, Chandra L., et al.. (2003). A Monitor for Bud Emergence in the Yeast Morphogenesis Checkpoint. Molecular Biology of the Cell. 14(8). 3280–3291. 59 indexed citations

18.

McMillan, John N., Chandra L. Theesfeld, Jacob C. Harrison, Elaine S.G. Bardes, & Daniel J. Lew. (2002). Determinants of Swe1p Degradation inSaccharomyces cerevisiae. Molecular Biology of the Cell. 13(10). 3560–3575. 69 indexed citations

19.

Strömblad, Staffan, Arun Fotedar, Howard Brickner, et al.. (2002). Loss of p53 Compensates for αv-Integrin Function in Retinal Neovascularization. Journal of Biological Chemistry. 277(16). 13371–13374. 22 indexed citations

20.

McMillan, John N., Mark S. Longtine, Rey A. L. Sia, et al.. (1999). The Morphogenesis Checkpoint in Saccharomyces cerevisiae : Cell Cycle Control of Swe1p Degradation by Hsl1p and Hsl7p. Molecular and Cellular Biology. 19(10). 6929–6939. 146 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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