Kimberly Rieger‐Christ

12.3k total citations
75 papers, 2.0k citations indexed

About

Kimberly Rieger‐Christ is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Kimberly Rieger‐Christ has authored 75 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 26 papers in Pulmonary and Respiratory Medicine and 25 papers in Surgery. Recurrent topics in Kimberly Rieger‐Christ's work include Bladder and Urothelial Cancer Treatments (16 papers), MicroRNA in disease regulation (10 papers) and Cancer-related molecular mechanisms research (10 papers). Kimberly Rieger‐Christ is often cited by papers focused on Bladder and Urothelial Cancer Treatments (16 papers), MicroRNA in disease regulation (10 papers) and Cancer-related molecular mechanisms research (10 papers). Kimberly Rieger‐Christ collaborates with scholars based in United States, Brazil and France. Kimberly Rieger‐Christ's co-authors include Ian C. Summerhayes, John A. Libertino, Brasil Silva Neto, Amy S. Yee, Jiyoung Kim, Travis Sullivan, Xiaowei Zhang, Tanya Logvinenko, David E. Wazer and K. Eric Paulson and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and Gastroenterology.

In The Last Decade

Kimberly Rieger‐Christ

70 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kimberly Rieger‐Christ United States 25 1.3k 649 525 407 380 75 2.0k
David J. DeGraff United States 24 981 0.8× 323 0.5× 789 1.5× 518 1.3× 402 1.1× 69 1.8k
Hsei-Wei Wang Taiwan 22 1.3k 1.0× 548 0.8× 294 0.6× 161 0.4× 531 1.4× 29 1.9k
Cecilia A. Fernández United States 15 864 0.7× 554 0.9× 163 0.3× 156 0.4× 444 1.2× 21 1.6k
E. Ioachim Greece 24 674 0.5× 317 0.5× 375 0.7× 171 0.4× 492 1.3× 79 1.7k
Vanessa Fritz France 14 1.1k 0.9× 796 1.2× 222 0.4× 133 0.3× 342 0.9× 18 2.0k
Yuzo Furuya Japan 22 923 0.7× 359 0.6× 133 0.3× 731 1.8× 510 1.3× 83 1.9k
Jia‐Jie Hao China 22 919 0.7× 459 0.7× 203 0.4× 284 0.7× 358 0.9× 58 1.4k
Erik R. Sampson United States 18 704 0.6× 268 0.4× 214 0.4× 156 0.4× 275 0.7× 28 1.5k
Philip Kahl Germany 25 1.6k 1.3× 466 0.7× 310 0.6× 577 1.4× 284 0.7× 47 2.2k
Nobuaki Hiraoka Japan 17 601 0.5× 670 1.0× 292 0.6× 150 0.4× 510 1.3× 21 1.6k

Countries citing papers authored by Kimberly Rieger‐Christ

Since Specialization
Citations

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

Fields of papers citing papers by Kimberly Rieger‐Christ

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kimberly Rieger‐Christ. 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 Kimberly Rieger‐Christ. The network helps show where Kimberly Rieger‐Christ may publish in the future.

Co-authorship network of co-authors of Kimberly Rieger‐Christ

This figure shows the co-authorship network connecting the top 25 collaborators of Kimberly Rieger‐Christ. A scholar is included among the top collaborators of Kimberly Rieger‐Christ 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 Kimberly Rieger‐Christ. Kimberly Rieger‐Christ 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
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Sharma, Amita, Tobias Sikosek, Timothy Rajakumar, et al.. (2023). Early detection of lung cancer using small RNAs.. Journal of Clinical Oncology. 41(16_suppl). 3035–3035.
4.
Sullivan, Travis, Hanqiao Liu, Xiaohui Xiao, et al.. (2023). Abstract 5632: Evaluating a novel molecular biomarker of angioinvasive lung adenocarcinoma with spatial transcriptomics. Cancer Research. 83(7_Supplement). 5632–5632. 1 indexed citations
5.
Lamb, Carla, Kimberly Rieger‐Christ, Chakravarthy Reddy, et al.. (2023). A Nasal Swab Classifier to Evaluate the Probability of Lung Cancer in Patients With Pulmonary Nodules. CHEST Journal. 165(4). 1009–1019. 3 indexed citations
6.
Sullivan, Travis, et al.. (2022). Vascular Invasion Predicts Recurrence in Stage IA2-IB Lung Adenocarcinoma but not Squamous Cell Carcinoma. Clinical Lung Cancer. 24(3). e126–e133. 4 indexed citations
7.
Lamb, Carla, Kimberly Rieger‐Christ, Chakravarthy Reddy, et al.. (2021). A NASAL CLINICAL-GENOMIC CLASSIFIER FOR ASSESSING RISK OF MALIGNANCY IN LUNG NODULES DEMONSTRATES ACCURATE PERFORMANCE INDEPENDENT OF NODULE SIZE OR CANCER STAGE. CHEST Journal. 160(4). A2518–A2519. 2 indexed citations
8.
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Sullivan, Travis, Luke E. Sebel, David Canes, et al.. (2020). MicroRNAs MiR-15a and MiR-26a cooperatively regulate O-GlcNAc-transferase to control proliferation in clear cell renal cell carcinoma. Cancer Biomarkers. 30(3). 343–351. 7 indexed citations
10.
Sullivan, Travis, et al.. (2019). <p>Urinary Microbiome Evaluation in Patients Presenting with Hematuria with a Focus on Exposure to Tobacco Smoke</p>. Research and Reports in Urology. Volume 11. 359–367. 15 indexed citations
11.
Kowalik, Casey G., Travis Sullivan, John M. Dugan, et al.. (2017). Profiling micro RNA from nephrectomy and biopsy specimens: predictors of progression and survival in clear cell renal cell carcinoma. British Journal of Urology. 120(3). 428–440. 28 indexed citations
12.
Sullivan, Travis, John G. Humphrey, Tanya Logvinenko, et al.. (2015). A non-invasive miRNA based assay to detect bladder cancer in cell-free urine.. PubMed. 7(11). 2500–9. 83 indexed citations
13.
Kozinn, Spencer, Niall Harty, Jessica DeLong, et al.. (2013). MicroRNA Profile to Predict Gemcitabine Resistance in Bladder Carcinoma Cell Lines. Genes & Cancer. 4(1-2). 61–69. 35 indexed citations
14.
Wszolek, Matthew, Justin J. Gould, Patrick A. Kenney, et al.. (2009). A MICRORNA EXPRESSION PROFILE INVOLVED IN THE INVASIVE BLADDER TUMOR PHENOTYPE. The Journal of Urology. 181(4S). 347–347. 6 indexed citations
15.
Paulson, K. Eric, Kimberly Rieger‐Christ, Michael A. McDevitt, et al.. (2007). Alterations of the HBP1 Transcriptional Repressor Are Associated with Invasive Breast Cancer. Cancer Research. 67(13). 6136–6145. 49 indexed citations
16.
Liu, Paul Y., Kan Liu, Xiao Tian Wang, et al.. (2005). Efficacy of Combination Gene Therapy with Multiple Growth Factor cDNAs to Enhance Skin Flap Survival in a Rat Model. DNA and Cell Biology. 24(11). 751–757. 22 indexed citations
17.
Chiang, George, David Canes, John T. Stoffel, et al.. (2005). The src‐family kinase inhibitor PP2 suppresses the in vitro invasive phenotype of bladder carcinoma cells via modulation of Akt. British Journal of Urology. 96(3). 416–422. 19 indexed citations
18.
Rieger‐Christ, Kimberly, Lily Ng, Robert S. Hanley, et al.. (2005). Restoration of plakoglobin expression in bladder carcinoma cell lines suppresses cell migration and tumorigenic potential. British Journal of Cancer. 92(12). 2153–2159. 60 indexed citations
19.
Rieger‐Christ, Kimberly, Peter Lee, Alireza Moinzadeh, et al.. (2004). Novel expression of N-cadherin elicits in vitro bladder cell invasion via the Akt signaling pathway. Oncogene. 23(27). 4745–4753. 68 indexed citations
20.
Wang, David S., Kimberly Rieger‐Christ, Jerilyn M. Latini, et al.. (2000). Molecular analysis ofPTEN andMXI1 in primary bladder carcinoma. International Journal of Cancer. 88(4). 620–625. 56 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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