Kathleen Groesch

632 total citations
22 papers, 472 citations indexed

About

Kathleen Groesch is a scholar working on Molecular Biology, Obstetrics and Gynecology and Immunology. According to data from OpenAlex, Kathleen Groesch has authored 22 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Obstetrics and Gynecology and 6 papers in Immunology. Recurrent topics in Kathleen Groesch's work include Reproductive System and Pregnancy (6 papers), Pregnancy and preeclampsia studies (5 papers) and Cancer, Lipids, and Metabolism (4 papers). Kathleen Groesch is often cited by papers focused on Reproductive System and Pregnancy (6 papers), Pregnancy and preeclampsia studies (5 papers) and Cancer, Lipids, and Metabolism (4 papers). Kathleen Groesch collaborates with scholars based in United States, Japan and Canada. Kathleen Groesch's co-authors include Donald S. Torry, Ronald J. Torry, Miao Chang, Paula Díaz‐Sylvester, Evan Ball, Ryan M. Gobble, Laurent Brard, Andrea Braundmeier‐Fleming, Xinjia Wang and Debashree Mukherjea and has published in prestigious journals such as PLoS ONE, Biology of Reproduction and Obstetrics and Gynecology.

In The Last Decade

Kathleen Groesch

19 papers receiving 463 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kathleen Groesch United States 10 212 199 154 142 81 22 472
Eun Hee Ahn South Korea 14 272 1.3× 155 0.8× 187 1.2× 140 1.0× 113 1.4× 52 596
Kuan‐Chong Chao Taiwan 8 276 1.3× 120 0.6× 314 2.0× 205 1.4× 183 2.3× 11 617
Soren Hayrabedyan Bulgaria 14 96 0.5× 220 1.1× 120 0.8× 160 1.1× 64 0.8× 38 464
Kelsey E. Quinn United States 10 98 0.5× 174 0.9× 54 0.4× 207 1.5× 47 0.6× 20 444
Dunja Maria Baston-Büst Germany 12 145 0.7× 213 1.1× 145 0.9× 75 0.5× 37 0.5× 43 371
Jing Fu China 16 268 1.3× 270 1.4× 378 2.5× 121 0.9× 36 0.4× 47 744
Brianna Cloke United Kingdom 9 320 1.5× 425 2.1× 446 2.9× 190 1.3× 46 0.6× 15 803
Se-Te Joseph Huang United States 7 205 1.0× 238 1.2× 79 0.5× 68 0.5× 32 0.4× 7 380
Andrew K. Edwards Canada 14 289 1.4× 350 1.8× 376 2.4× 134 0.9× 86 1.1× 23 690
Tatsuo Oguro Japan 10 91 0.4× 85 0.4× 102 0.7× 88 0.6× 41 0.5× 18 352

Countries citing papers authored by Kathleen Groesch

Since Specialization
Citations

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

Fields of papers citing papers by Kathleen Groesch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kathleen Groesch

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

All Works

20 of 20 papers shown
1.
2.
Anderson, Elizabeth M., Sarah C. Nelson, Kathleen Groesch, et al.. (2024). Potential tools for predicting response to chemotherapy in OC: Assessment of immune dysbiosis, participant’s self-rated health and microbial dynamics. Journal of Reproductive Immunology. 163. 104241–104241. 1 indexed citations
3.
Do, Hung, Paula Díaz‐Sylvester, Kathleen Groesch, et al.. (2024). Influence of Hormonal Factors, Number of Sexual Partners, Surgical Intervention on Gastrointestinal and Urogenital Microbiota of Patients Endometriosis. Archives of Medical Research. 55(8). 103112–103112. 4 indexed citations
4.
Li, Miao, Paula Díaz‐Sylvester, Kathleen Groesch, et al.. (2023). Evaluation of sterol‑o‑acyl transferase 1 and cholesterol ester levels in plasma, peritoneal fluid and tumor tissue of patients with endometrial cancer: A pilot study. Oncology Letters. 25(6). 231–231. 4 indexed citations
5.
6.
Le, Nhung, Melissa A. Cregger, Veronica A. Brown, et al.. (2021). Association of microbial dynamics with urinary estrogens and estrogen metabolites in patients with endometriosis. PLoS ONE. 16(12). e0261362–e0261362. 32 indexed citations
7.
Kuroki, Lindsay M., L. Stewart Massad, Anne Martin, et al.. (2021). Addressing Unmet Basic Needs to Improve Colposcopy Adherence Among Women With Abnormal Cervical Cancer Screening. Journal of Lower Genital Tract Disease. 25(2). 106–112. 5 indexed citations
8.
Groesch, Kathleen, Paula Díaz‐Sylvester, Melissa A. Cregger, et al.. (2020). Assessment of peritoneal microbial features and tumor marker levels as potential diagnostic tools for ovarian cancer. PLoS ONE. 15(1). e0227707–e0227707. 40 indexed citations
9.
Wang, Xinjia, et al.. (2020). Assessment of acyl-CoA cholesterol acyltransferase (ACAT-1) role in ovarian cancer progression—An in vitro study. PLoS ONE. 15(1). e0228024–e0228024. 40 indexed citations
10.
Soltys, Stephen, Joseph R. Kurian, Lindsay Hedden, et al.. (2020). An association of intrapartum synthetic oxytocin dosing and the odds of developing autism. Autism. 24(6). 1400–1410. 19 indexed citations
11.
Le, Nhung, et al.. (2020). Alteration of systemic and uterine endometrial immune populations in patients with endometriosis. American Journal of Reproductive Immunology. 85(3). e13362–e13362. 24 indexed citations
12.
Le, Nhung, et al.. (2019). Association of Gastrointestinal Microbial Profiles and Estrogen Metabolism in Patients With Preterm Birth [21A]. Obstetrics and Gynecology. 133(1). 15S–15S.
13.
Brard, Laurent, et al.. (2017). Microbial Profiles and Tumor Markers From Culdocentesis: A Novel Screening Method for Epithelial Ovarian Cancer [3H]. Obstetrics and Gynecology. 129(1). 82S–82S. 2 indexed citations
14.
Burnett, Tatnai L., et al.. (2016). Location of the Deep Epigastric Vessels in the Resting and Insufflated Abdomen. Journal of Minimally Invasive Gynecology. 23(5). 798–803. 2 indexed citations
15.
Groesch, Kathleen, et al.. (2016). Venous Thromboembolism. Obstetrics and Gynecology. 127(Supplement 1). 88S–88S.
16.
Groesch, Kathleen, Ronald J. Torry, Andrew Wilber, et al.. (2011). Nitric oxide generation affects pro- and anti-angiogenic growth factor expression in primary human trophoblast. Placenta. 32(12). 926–931. 25 indexed citations
17.
Groesch, Kathleen, et al.. (2010). Dysregulation of Promyelocytic Leukemia (PML) Protein Expression in Preeclamptic Placentae. Reproductive Sciences. 17(4). 339–349. 1 indexed citations
18.
Gobble, Ryan M., Kathleen Groesch, Miao Chang, Ronald J. Torry, & Donald S. Torry. (2009). Differential Regulation of Human PlGF Gene Expression in Trophoblast and Nontrophoblast Cells by Oxygen Tension. Placenta. 30(10). 869–875. 43 indexed citations
19.
Torry, Donald S., et al.. (2007). Angiogenesis in implantation. Journal of Assisted Reproduction and Genetics. 24(7). 303–315. 140 indexed citations
20.
Chang, Miao, Debashree Mukherjea, Ryan M. Gobble, et al.. (2007). Glial Cell Missing 1 Regulates Placental Growth Factor (PGF) Gene Transcription in Human Trophoblast1. Biology of Reproduction. 78(5). 841–851. 54 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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