Julia Kim

546 total citations · 1 hit paper
13 papers, 376 citations indexed

About

Julia Kim is a scholar working on Pediatrics, Perinatology and Child Health, Public Health, Environmental and Occupational Health and Genetics. According to data from OpenAlex, Julia Kim has authored 13 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Pediatrics, Perinatology and Child Health, 4 papers in Public Health, Environmental and Occupational Health and 4 papers in Genetics. Recurrent topics in Julia Kim's work include Reproductive Biology and Fertility (3 papers), Prenatal Screening and Diagnostics (3 papers) and Advanced Breast Cancer Therapies (2 papers). Julia Kim is often cited by papers focused on Reproductive Biology and Fertility (3 papers), Prenatal Screening and Diagnostics (3 papers) and Advanced Breast Cancer Therapies (2 papers). Julia Kim collaborates with scholars based in United States, Canada and Switzerland. Julia Kim's co-authors include Emre Seli, Richard T. Scott, George Patounakis, Chaim Jalas, Yiping Zhan, Xin Tao, Ashley W. Tiegs, Brent M. Hanson, Arthur J. Castelbaum and Thomas J. Kim and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Human Molecular Genetics.

In The Last Decade

Julia Kim

12 papers receiving 371 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 multicenter, prospective, blinded, nonselection study evaluating the predictive value of an aneuploid diagnosis using a targeted next-generation sequencing–based preimplantation genetic testing for aneuploidy assay and impact of biopsy

2020 177 citations Ashley W. Tiegs, Xin Tao et al. Fertility and Sterility profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Julia Kim United States	9	219	165	88	77	65	13	376
Lottie Skjöldebrand‐Sparre Sweden	8	101 0.5×	70 0.4×	66 0.8×	25 0.3×	31 0.5×	15	312
Hongbin Chi China	11	119 0.5×	200 1.2×	202 2.3×	21 0.3×	52 0.8×	49	495
S. Belloc France	6	54 0.2×	156 0.9×	199 2.3×	49 0.6×	136 2.1×	16	362
Τheodoros Stefos Greece	12	65 0.3×	117 0.7×	100 1.1×	37 0.5×	48 0.7×	18	252
Gon Shoham Israel	10	178 0.8×	221 1.3×	202 2.3×	30 0.4×	58 0.9×	20	349
Anastasios Liberis Greece	11	60 0.3×	52 0.3×	68 0.8×	33 0.4×	55 0.8×	45	291
Dilek Cermik United States	8	81 0.4×	115 0.7×	189 2.1×	58 0.8×	60 0.9×	12	359
Donald Adler United States	6	59 0.3×	109 0.7×	44 0.5×	21 0.3×	33 0.5×	8	296
Dolores Foth Germany	14	72 0.3×	157 1.0×	204 2.3×	59 0.8×	30 0.5×	44	443

Countries citing papers authored by Julia Kim

Since Specialization

Citations

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

Fields of papers citing papers by Julia Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julia Kim

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

All Works

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13 of 13 papers shown

O’Shaughnessy, Joyce, Sara M. Tolaney, Denise A. Yardley, et al.. (2025). Real-world risk of recurrence and treatment outcomes with adjuvant endocrine therapy in patients with stage II-III HR+/HER2- early breast cancer. The Breast. 81. 104437–104437. 1 indexed citations

Kim, Julia, et al.. (2025). Respiratory Syncytial Virus Vaccination in Pregnancy and Social Determinants of Health. American Journal of Perinatology. 43(2). 275–278.

O’Shaughnessy, Joyce, Barbara Pistilli, Roberto Hegg, et al.. (2022). Clinical outcomes with alpelisib (ALP) plus fulvestrant (FUL) after prior treatment (tx) with FUL in patients (pts) with advanced breast cancer (ABC): A real-world (RW) analysis.. Journal of Clinical Oncology. 40(16_suppl). 1055–1055. 1 indexed citations

Kim, Julia, George Patounakis, C.R. Juneau, et al.. (2021). The Appraisal of Body Content (ABC) trial: Increased male or female adiposity does not significantly impact in vitro fertilization laboratory or clinical outcomes. Fertility and Sterility. 116(2). 444–452. 34 indexed citations

Kim, Julia, et al.. (2021). The concordance rates of an initial trophectoderm biopsy with the rest of the embryo using PGTseq, a targeted next-generation sequencing platform for preimplantation genetic testing-aneuploidy. Fertility and Sterility. 117(2). 315–323. 33 indexed citations

Kim, Julia, C.R. Juneau, George Patounakis, et al.. (2020). The appraisal of body content (ABC) trial: obesity does not significantly impact gamete production in infertile men and women. Journal of Assisted Reproduction and Genetics. 37(11). 2733–2742. 15 indexed citations

Tiegs, Ashley W., Xin Tao, Yiping Zhan, et al.. (2020). A multicenter, prospective, blinded, nonselection study evaluating the predictive value of an aneuploid diagnosis using a targeted next-generation sequencing–based preimplantation genetic testing for aneuploidy assay and impact of biopsy. Fertility and Sterility. 115(3). 627–637. 177 indexed citations breakdown →

Kim, Julia & Emre Seli. (2019). Mitochondria as a biomarker for IVF outcome. Reproduction. 157(6). R235–R242. 27 indexed citations

Ryan, Colleen M., Austin F. Lee, Lewis E. Kazis, et al.. (2015). Is Real-Time Feedback of Burn-Specific Patient-Reported Outcome Measures in Clinical Settings Practical and Useful? A Pilot Study Implementing the Young Adult Burn Outcome Questionnaire. Journal of Burn Care & Research. 37(1). 64–74. 31 indexed citations

10.

Kim, Julia, Sarah Siddiqui, Michelle Taylor, et al.. (2011). Influence of 1,25-dihydroxy vitamin D3 on TLR4-induced activation of antigen presenting cells is dependent on the order of receptor engagement. Immunobiology. 216(9). 988–996. 31 indexed citations

11.

Kim, Julia, et al.. (2010). Delivery of Exogenous Antigens to Induce Cytotoxic CD8+ T Lymphocyte Responses. SHILAP Revista de lepidopterología. 2010. 1–10. 10 indexed citations

12.

McGrath, Kevin, Julia Kim, Benedict Devereaux, et al.. (2000). 4591 Prospective evaluation of the incremental sensitivity for diagnostic eus-guided fnab.. Gastrointestinal Endoscopy. 51(4). AB176–AB176. 1 indexed citations

13.

Scherer, Stephen W., Johanna M. Rommens, N. Plavsic, et al.. (1993). Refined localization and yeast artificial chromosome (YAC) contig—mapping of genes and DNA segments in the 7q21–q32 region. Human Molecular Genetics. 2(6). 751–760. 15 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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