Jane Guan

1.2k total citations
16 papers, 432 citations indexed

About

Jane Guan is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Genetics. According to data from OpenAlex, Jane Guan has authored 16 papers receiving a total of 432 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 10 papers in Pulmonary and Respiratory Medicine and 7 papers in Genetics. Recurrent topics in Jane Guan's work include Advanced Breast Cancer Therapies (9 papers), PI3K/AKT/mTOR signaling in cancer (8 papers) and Estrogen and related hormone effects (7 papers). Jane Guan is often cited by papers focused on Advanced Breast Cancer Therapies (9 papers), PI3K/AKT/mTOR signaling in cancer (8 papers) and Estrogen and related hormone effects (7 papers). Jane Guan collaborates with scholars based in United States, Australia and Italy. Jane Guan's co-authors include Lori S. Friedman, Jeffrey J. Wallin, Marcia Belvin, Wei Wei Prior, Deepak Sampath, Leanne Berry, Carol O’Brien, Heidi Savage, Debraj GuhaThakurta and Elizabeth A. Punnoose and has published in prestigious journals such as PLoS ONE, Cancer Research and Brain Research.

In The Last Decade

Jane Guan

16 papers receiving 411 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jane Guan United States	7	317	152	112	82	57	16	432
Ramin Altaha United States	9	153 0.5×	181 1.2×	143 1.3×	37 0.5×	70 1.2×	23	411
Sunipa Majumdar United States	13	323 1.0×	107 0.7×	85 0.8×	48 0.6×	115 2.0×	20	521
Lynn Bjerke United Kingdom	6	381 1.2×	88 0.6×	56 0.5×	178 2.2×	104 1.8×	8	505
Megan Wu Canada	10	442 1.4×	109 0.7×	83 0.7×	58 0.7×	73 1.3×	12	606
Chi Wai Wong Hong Kong	7	303 1.0×	130 0.9×	61 0.5×	48 0.6×	57 1.0×	12	447
Mette Villingshøj Denmark	11	231 0.7×	157 1.0×	66 0.6×	106 1.3×	86 1.5×	14	405
Shaun Grosskurth United States	10	307 1.0×	123 0.8×	45 0.4×	41 0.5×	50 0.9×	18	445
Ivana Galetić Switzerland	7	315 1.0×	64 0.4×	107 1.0×	21 0.3×	48 0.8×	10	494
Stacy L. Throm United States	10	187 0.6×	228 1.5×	67 0.6×	54 0.7×	40 0.7×	19	434

Countries citing papers authored by Jane Guan

Since Specialization

Citations

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

Fields of papers citing papers by Jane Guan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jane Guan

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

All Works

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16 of 16 papers shown

Ahmed, Musaddeque, Jane Guan, Wei Zhou, et al.. (2023). Abstract P2-24-04: The ER antagonist giredestrant induces profound chromatin remodeling including activation of cis-regulatory elements bound by FOXA1 and GATA3 in HR+ breast cancer models. Cancer Research. 83(5_Supplement). P2–24. 1 indexed citations

Tan, Jenille, Wei Zhou, Jane Guan, et al.. (2022). Abstract 5388: Triple-threat: Inavolisib and giredestrant combine with palbociclib to achieve sustained cell cycle arrest in ER-positive breast cancer models. Cancer Research. 82(12_Supplement). 5388–5388. 1 indexed citations

Daemen, Anneleen, Jill M. Spoerke, Wei Zhou, et al.. (2020). Abstract P2-11-05: ER pathway activity signature as a biomarker for endocrine agent GDC-9545. Cancer Research. 80(4_Supplement). P2–11. 1 indexed citations

Metcalfe, Ciara, Wei Zhou, Jane Guan, et al.. (2020). Abstract 3406: GDC-9545: A pure antiestrogen clinical candidate that immobilizes the estrogen receptor and profoundly alters chromatin accessibility in vivo. Cancer Research. 80(16_Supplement). 3406–3406. 4 indexed citations

Metcalfe, Ciara, Wei Zhou, Jane Guan, et al.. (2019). Abstract GS3-05: Prospective optimization of estrogen receptor degradation yields ER ligands with variable capacities for ER transcriptional suppression. Cancer Research. 79(4_Supplement). GS3–5. 1 indexed citations

Guan, Jane, Wei Zhou, Anneleen Daemen, et al.. (2018). Abstract NG05: Not all “SERDs” are equal: Context-independent ER degradation and full ER antagonism define the next generation of ER therapeutics. Cancer Research. 78(13_Supplement). NG05–NG05. 1 indexed citations

Eapen, Valsamma, Amélia Walter, Jane Guan, et al.. (2017). Maternal help‐seeking for child developmental concerns: Associations with socio‐demographic factors. Journal of Paediatrics and Child Health. 53(10). 963–969. 22 indexed citations

Hoeflich, Klaus P., Jane Guan, Kyle A. Edgar, et al.. (2016). The PI3K inhibitor taselisib overcomes letrozole resistance in a breast cancer model expressing aromatase. Genes & Cancer. 7(3-4). 73–85. 15 indexed citations

Wallin, Jeffrey J., Jane Guan, Wei Wei Prior, et al.. (2012). GDC-0941, a Novel Class I Selective PI3K Inhibitor, Enhances the Efficacy of Docetaxel in Human Breast Cancer Models by Increasing Cell Death In Vitro and In Vivo. Clinical Cancer Research. 18(14). 3901–3911. 73 indexed citations

10.

Wallin, Jeffrey J., Jane Guan, Kyle A. Edgar, et al.. (2012). Active PI3K Pathway Causes an Invasive Phenotype Which Can Be Reversed or Promoted by Blocking the Pathway at Divergent Nodes. PLoS ONE. 7(5). e36402–e36402. 39 indexed citations

11.

Friedman, Lori S., et al.. (2012). Abstract P5-19-02: Selective PI3K and dual PI3K/mTOR inhibitors enhance the efficacy of endocrine therapies in breast cancer models. Cancer Research. 72(24_Supplement). P5–19. 4 indexed citations

12.

O’Brien, Carol, Jeffrey J. Wallin, Deepak Sampath, et al.. (2010). Predictive Biomarkers of Sensitivity to the Phosphatidylinositol 3′ Kinase Inhibitor GDC-0941 in Breast Cancer Preclinical Models. Clinical Cancer Research. 16(14). 3670–3683. 201 indexed citations

13.

Wallin, Jeffrey J., Jane Guan, Yang Xiao, et al.. (2010). Abstract 298: Mutant PIK3CA increases the expression of individual tubulin isoforms and promotes resistance to anti-mitotic chemotherapy drugs. Cancer Research. 70(8_Supplement). 298–298. 2 indexed citations

14.

Wallin, Jeffrey J., Jane Guan, Wei Wei Prior, et al.. (2010). Nuclear Phospho-Akt Increase Predicts Synergy of PI3K Inhibition and Doxorubicin in Breast and Ovarian Cancer. Science Translational Medicine. 2(48). 48ra66–48ra66. 46 indexed citations

15.

Wallin, Jeffrey J., Kyle A. Edgar, Jane Guan, Lori S. Friedman, & Marcia Belvin. (2009). Abstract #3392: Transient pAkt increase after chemo exposure predicts strength of synergy for combinations of the PI3K inhibitor GDC-0941 and chemotherapeutics. Cancer Research. 69. 3392–3392. 1 indexed citations

16.

Yukhananov, R. Yu., Jane Guan, & Gregory Crosby. (2002). Antisense oligonucleotides to N-methyl-d-aspartate receptor subunits attenuate formalin-induced nociception in the rat. Brain Research. 930(1-2). 163–169. 20 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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