Jennie Jeong

613 total citations
8 papers, 465 citations indexed

About

Jennie Jeong is a scholar working on Molecular Biology, Cancer Research and Infectious Diseases. According to data from OpenAlex, Jennie Jeong has authored 8 papers receiving a total of 465 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Cancer Research and 0 papers in Infectious Diseases. Recurrent topics in Jennie Jeong's work include Molecular Biology Techniques and Applications (8 papers), Cancer Genomics and Diagnostics (5 papers) and Gene expression and cancer classification (5 papers). Jennie Jeong is often cited by papers focused on Molecular Biology Techniques and Applications (8 papers), Cancer Genomics and Diagnostics (5 papers) and Gene expression and cancer classification (5 papers). Jennie Jeong collaborates with scholars based in United States and United Kingdom. Jennie Jeong's co-authors include Mei‐Lan Liu, Kim M. Clark-Langone, Mylan Pho, Maureen Cronin, Debjani Dutta, Anh Nguyen, Chithra Sangli, Jenny Wu, Drew Watson and Joffre Baker and has published in prestigious journals such as PLoS ONE, Cancer Research and Clinical Chemistry.

In The Last Decade

Jennie Jeong

8 papers receiving 444 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jennie Jeong United States	6	313	230	174	75	64	8	465
Adele Francis United Kingdom	7	214 0.7×	177 0.8×	155 0.9×	51 0.7×	52 0.8×	9	401
C. Alexander United States	4	310 1.0×	142 0.6×	193 1.1×	91 1.2×	61 1.0×	5	403
Shuzhen Liu China	9	390 1.2×	287 1.2×	211 1.2×	55 0.7×	51 0.8×	18	581
Kun Yu Singapore	10	197 0.6×	322 1.4×	192 1.1×	55 0.7×	62 1.0×	17	501
Ming Liao China	3	185 0.6×	347 1.5×	122 0.7×	49 0.7×	24 0.4×	5	507
F Khandan Germany	7	295 0.9×	122 0.5×	312 1.8×	44 0.6×	88 1.4×	10	449
Stephanie A. Hamilton United States	6	163 0.5×	130 0.6×	262 1.5×	102 1.4×	39 0.6×	12	418
Ivana Božović‐Spasojević Serbia	8	259 0.8×	159 0.7×	299 1.7×	74 1.0×	61 1.0×	17	501
Corina N.A.M. Oldenhuis Netherlands	9	160 0.5×	335 1.5×	192 1.1×	34 0.5×	53 0.8×	13	544
Colin R. James United Kingdom	8	189 0.6×	314 1.4×	259 1.5×	177 2.4×	46 0.7×	9	574

Countries citing papers authored by Jennie Jeong

Since Specialization

Citations

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

Fields of papers citing papers by Jennie Jeong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennie Jeong

This figure shows the co-authorship network connecting the top 25 collaborators of Jennie Jeong. A scholar is included among the top collaborators of Jennie Jeong 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 Jennie Jeong. Jennie Jeong 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

Ma, Yan, James C. Stephans, Jennie Jeong, et al.. (2014). Fusion Transcript Discovery in Formalin-Fixed Paraffin-Embedded Human Breast Cancer Tissues Reveals a Link to Tumor Progression. PLoS ONE. 9(4). e94202–e94202. 14 indexed citations

Sinicropi, Dominick, Kunbin Qu, François Collin, et al.. (2012). Whole Transcriptome RNA-Seq Analysis of Breast Cancer Recurrence Risk Using Formalin-Fixed Paraffin-Embedded Tumor Tissue. PLoS ONE. 7(7). e40092–e40092. 59 indexed citations

Liu, Mei‐Lan, Jennie Jeong, Carl Millward, et al.. (2011). RT-PCR Gene Expression Profiling of RNA from Paraffin-Embedded Tissues Prepared Using a Range of Different Fixatives and Conditions. Methods in molecular biology. 724. 205–237. 6 indexed citations

Scott, Aaron, et al.. (2011). RT-PCR-Based Gene Expression Profiling for Cancer Biomarker Discovery from Fixed, Paraffin-Embedded Tissues. Methods in molecular biology. 724. 239–257. 7 indexed citations

Cronin, Maureen, Debjani Dutta, Mylan Pho, et al.. (2009). Tumor Marker Discovery by Expression Profiling RNA from Formalin Fixed Paraffin Embedded Tissues. Methods in molecular biology. 520. 177–193. 4 indexed citations

Zhou, Ming, Mary P. Bronner, Ralph J. Tuthill, et al.. (2007). Optimized RNA extraction and RT-PCR assays provide successful molecular analysis on a wide variety of archival fixed tissues. Cancer Research. 67. 4423–4423. 4 indexed citations

Chang, Jenny C., Andreas Makris, Maya Gutierrez, et al.. (2007). Gene expression patterns in formalin-fixed, paraffin-embedded core biopsies predict docetaxel chemosensitivity in breast cancer patients. Breast Cancer Research and Treatment. 108(2). 233–240. 107 indexed citations

Cronin, Maureen, Chithra Sangli, Mei‐Lan Liu, et al.. (2007). Analytical Validation of the Oncotype DX Genomic Diagnostic Test for Recurrence Prognosis and Therapeutic Response Prediction in Node-Negative, Estrogen Receptor–Positive Breast Cancer. Clinical Chemistry. 53(6). 1084–1091. 264 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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