Richard L. Carpenter

3.9k total citations · 1 hit paper
60 papers, 2.9k citations indexed

About

Richard L. Carpenter is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Richard L. Carpenter has authored 60 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 15 papers in Oncology and 9 papers in Cancer Research. Recurrent topics in Richard L. Carpenter's work include Hedgehog Signaling Pathway Studies (10 papers), Meteorological Phenomena and Simulations (8 papers) and Heat shock proteins research (7 papers). Richard L. Carpenter is often cited by papers focused on Hedgehog Signaling Pathway Studies (10 papers), Meteorological Phenomena and Simulations (8 papers) and Heat shock proteins research (7 papers). Richard L. Carpenter collaborates with scholars based in United States, China and Germany. Richard L. Carpenter's co-authors include Hui‐Wen Lo, Bing‐Hua Jiang, Liu L, Kelvin K. Droegemeier, Jing Yi, Yue Jiang, Lihui Lai, Hsiang‐Fu Kung, Chong-Yong Li and Qi Chen and has published in prestigious journals such as PLoS ONE, Analytical Chemistry and Cancer Research.

In The Last Decade

Richard L. Carpenter

56 papers receiving 2.9k citations

Hit Papers

STAT3 Target Genes Relevant to Human Cancers 2014 2026 2018 2022 2014 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Richard L. Carpenter United States 28 1.5k 748 713 388 309 60 2.9k
André Tremblay Canada 38 1.6k 1.0× 485 0.6× 625 0.9× 459 1.2× 400 1.3× 132 5.2k
Jinhong Zhu China 34 2.7k 1.8× 1.2k 1.7× 633 0.9× 622 1.6× 587 1.9× 180 4.6k
Coralie L. Guérin France 31 1.9k 1.3× 811 1.1× 340 0.5× 230 0.6× 163 0.5× 76 3.7k
Yan Ding China 33 1.6k 1.1× 402 0.5× 285 0.4× 168 0.4× 116 0.4× 124 3.5k
Ruhua Zhang China 29 1.7k 1.1× 717 1.0× 350 0.5× 333 0.9× 399 1.3× 142 2.9k
Andrew Brenner United States 39 2.5k 1.7× 1.6k 2.1× 1.1k 1.6× 130 0.3× 459 1.5× 194 5.1k
Li-Peng Hu China 24 1.0k 0.7× 530 0.7× 575 0.8× 88 0.2× 150 0.5× 68 2.2k
Andrew Young United Kingdom 35 2.0k 1.3× 472 0.6× 366 0.5× 75 0.2× 490 1.6× 80 5.3k
Ping Yue China 48 4.6k 3.0× 834 1.1× 1.5k 2.0× 282 0.7× 671 2.2× 219 7.2k
Elke Butt Germany 41 2.9k 1.9× 415 0.6× 340 0.5× 70 0.2× 133 0.4× 82 5.0k

Countries citing papers authored by Richard L. Carpenter

Since Specialization
Citations

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

Fields of papers citing papers by Richard L. Carpenter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard L. Carpenter. 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 Richard L. Carpenter. The network helps show where Richard L. Carpenter may publish in the future.

Co-authorship network of co-authors of Richard L. Carpenter

This figure shows the co-authorship network connecting the top 25 collaborators of Richard L. Carpenter. A scholar is included among the top collaborators of Richard L. Carpenter 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 Richard L. Carpenter. Richard L. Carpenter 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.
O’Malley, Matthew R., et al.. (2025). MYC and HSF1 Cooperate to Drive Sensitivity to Polo-like Kinase 1 Inhibitor Volasertib in High-grade Serous Ovarian Cancer. Cancer Research Communications. 5(2). 253–266.
2.
Bowers, Robert R., Silvia G. Vaena, George Fullbright, et al.. (2024). MYC is Sufficient to Generate Mid-Life High-Grade Serous Ovarian and Uterine Serous Carcinomas in a p53-R270H Mouse Model. Cancer Research Communications. 4(9). 2525–2538. 4 indexed citations
3.
Carpenter, Richard L., et al.. (2024). Improving a WRF-Based High-Impact Weather Forecast System for a Northern California Power Utility. Atmosphere. 15(10). 1244–1244. 1 indexed citations
5.
Carpenter, Richard L., et al.. (2023). Characterization of Extracellular Vesicles by Resistive-Pulse Sensing on In-Plane Multipore Nanofluidic Devices. Analytical Chemistry. 95(45). 16710–16716. 16 indexed citations
6.
Smith, John, Jay Pilrose, Stephanie C. Ems-McClung, et al.. (2023). MCAK Inhibitors Induce Aneuploidy in Triple-Negative Breast Cancer Models. Cancers. 15(13). 3309–3309. 5 indexed citations
7.
Lu, Wencheng, John Wang, George E. Sandusky, et al.. (2023). HSF1 Inhibits Antitumor Immune Activity in Breast Cancer by Suppressing CCL5 to Block CD8+ T-cell Recruitment. Cancer Research. 84(2). 276–290. 27 indexed citations
8.
Doheny, Daniel, Sherona Sirkisoon, Richard L. Carpenter, et al.. (2020). Combined inhibition of JAK2-STAT3 and SMO-GLI1/tGLI1 pathways suppresses breast cancer stem cells, tumor growth, and metastasis. Oncogene. 39(42). 6589–6605. 63 indexed citations
9.
Hagar, Amit, et al.. (2019). Endurance training slows breast tumor growth in mice by suppressing Treg cells recruitment to tumors. BMC Cancer. 19(1). 59 indexed citations
10.
Carpenter, Richard L., et al.. (2019). Safety and Tolerability of Sonic Hedgehog Pathway Inhibitors in Cancer. PMC. 3 indexed citations
11.
Sirkisoon, Sherona, Richard L. Carpenter, Tadas Rimkus, et al.. (2018). Interaction between STAT3 and GLI1/tGLI1 oncogenic transcription factors promotes the aggressiveness of triple-negative breast cancers and HER2-enriched breast cancer. Oncogene. 37(19). 2502–2514. 79 indexed citations
12.
Rimkus, Tadas, Richard L. Carpenter, Sherona Sirkisoon, et al.. (2018). Truncated Glioma-Associated Oncogene Homolog 1 (tGLI1) Mediates Mesenchymal Glioblastoma via Transcriptional Activation of CD44. Cancer Research. 78(10). 2589–2600. 32 indexed citations
13.
Carpenter, Richard L. & Yesim Gökmen‐Polar. (2018). HSF1 as a Cancer Biomarker and Therapeutic Target. Current Cancer Drug Targets. 19(7). 515–524. 83 indexed citations
14.
Xing, Fei, Yin Liu, Sambad Sharma, et al.. (2016). Activation of the c-Met Pathway Mobilizes an Inflammatory Network in the Brain Microenvironment to Promote Brain Metastasis of Breast Cancer. Cancer Research. 76(17). 4970–4980. 102 indexed citations
15.
Carpenter, Richard L., Woody Han, Ivy Paw, & Hui‐Wen Lo. (2013). HER2 Phosphorylates and Destabilizes Pro-Apoptotic PUMA, Leading to Antagonized Apoptosis in Cancer Cells. PLoS ONE. 8(11). e78836–e78836. 15 indexed citations
16.
Carpenter, Richard L.. (2013). Short-term Numerical Forecasts Using WindTracer Lidar Data. 2 indexed citations
17.
L, Liu, Chong-Yong Li, Qi Chen, et al.. (2011). MiR-21 Induced Angiogenesis through AKT and ERK Activation and HIF-1α Expression. PLoS ONE. 6(4). e19139–e19139. 427 indexed citations
18.
Carpenter, Richard L.. (1994). Entrainment and Detrainment in Numerically Simulated Cumulus Congestus Clouds.. PhDT. 40 indexed citations
19.
Gaver, Donald P., Richard L. Carpenter, & Patricia A. Jacobs. (1993). An exploratory stochastic model for toxic effects on cells. Calhoun: The Naval Postgraduate School Institutional Archive (Naval Postgraduate School).
20.
Guinard, J P, Michael F. Mulroy, Richard L. Carpenter, & B. Nadir. (1990). A773 EPIDURAL EPINEPHRINE TEST DOSES. Anesthesiology. 73(3A). NA–NA. 2 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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