Richard Schlegel

53.8k total citations · 6 hit papers
230 papers, 36.8k citations indexed

About

Richard Schlegel is a scholar working on Epidemiology, Molecular Biology and Genetics. According to data from OpenAlex, Richard Schlegel has authored 230 papers receiving a total of 36.8k indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Epidemiology, 80 papers in Molecular Biology and 67 papers in Genetics. Recurrent topics in Richard Schlegel's work include Cervical Cancer and HPV Research (66 papers), Virus-based gene therapy research (63 papers) and Cancer-related Molecular Pathways (22 papers). Richard Schlegel is often cited by papers focused on Cervical Cancer and HPV Research (66 papers), Virus-based gene therapy research (63 papers) and Cancer-related Molecular Pathways (22 papers). Richard Schlegel collaborates with scholars based in United States, Israel and United Kingdom. Richard Schlegel's co-authors include Thomas Kühn, Peter M. Howley, Vivien J. Bubb, Xuefeng Liu, William C. Phelps, Karl Münger, Hang Yuan, D. Goldstein, Susan Banks‐Schlegel and Geraldine S. Pinkus and has published in prestigious journals such as Nature, Science and New England Journal of Medicine.

In The Last Decade

Richard Schlegel

226 papers receiving 30.3k citations

Hit Papers

The Structure of Scientific Revolutions 1963 2026 1984 2005 1963 1989 2011 1990 1995 5.0k 10.0k 15.0k 20.0k
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.

  1. The Structure of Scientific Revolutions
    1963 22.7k citations Richard Schlegel et al. profile →
  2. The E6 and E7 genes of the human papillomavirus type 16 together are necessary and sufficient for transformation of primary human keratinocytes
    1989 1.1k citations Richard Schlegel et al. Journal of Virology profile →
  3. ROCK Inhibitor and Feeder Cells Induce the Conditional Reprogramming of Epithelial Cells
    2011 554 citations Xuefeng Liu, Bhaskar Kallakury et al. American Journal Of Pathology profile →
  4. TGF-β1 inhibition of c-myc transcription and growth in keratinocytes is abrogated by viral transforming proteins with pRB binding domains
    1990 543 citations Richard Schlegel et al. profile →
  5. Systemic immunization with papillomavirus L1 protein completely prevents the development of viral mucosal papillomas.
    1995 534 citations Judith A. Bell, Richard Schlegel et al. profile →
  6. Presence and expression of human papillomavirus sequences in human cervical carcinoma cell lines.
    1985 532 citations Carl C. Baker, Richard Schlegel et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Richard Schlegel United States 64 6.0k 6.0k 4.9k 3.6k 3.5k 230 36.8k
Gary G. Koch United States 75 8.3k 1.4× 3.4k 0.6× 4.7k 1.0× 3.1k 0.9× 3.3k 0.9× 485 89.9k
J. Richard Landis United States 68 8.3k 1.4× 3.3k 0.6× 4.3k 0.9× 2.0k 0.6× 3.1k 0.9× 246 81.1k
Bradley Efron United States 83 3.1k 0.5× 9.4k 1.6× 3.2k 0.7× 4.6k 1.3× 1.4k 0.4× 222 98.8k
Nicholas G. Martin Australia 115 6.5k 1.1× 10.6k 1.8× 4.2k 0.9× 15.7k 4.3× 2.5k 0.7× 1.4k 63.3k
Andrew Gelman United States 74 2.3k 0.4× 3.3k 0.6× 7.0k 1.4× 4.2k 1.1× 718 0.2× 368 76.8k
Bruce Thompson United States 106 10.3k 1.7× 2.9k 0.5× 2.7k 0.5× 603 0.2× 1.1k 0.3× 1.2k 61.8k
Jacob Cohen United States 49 4.4k 0.7× 1.9k 0.3× 10.2k 2.1× 1.8k 0.5× 1.5k 0.4× 113 96.0k
Albert-Ĺaszló Barabási United States 126 3.1k 0.5× 34.0k 5.7× 11.6k 2.4× 5.5k 1.5× 868 0.2× 342 131.6k
Larry V. Hedges United States 84 3.3k 0.5× 1.5k 0.2× 7.0k 1.4× 1.5k 0.4× 981 0.3× 275 74.9k
Peter A. Lachenbruch United States 52 3.1k 0.5× 1.4k 0.2× 4.6k 0.9× 1.1k 0.3× 887 0.3× 189 46.9k

Countries citing papers authored by Richard Schlegel

Since Specialization
Citations

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

Fields of papers citing papers by Richard Schlegel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard Schlegel

This figure shows the co-authorship network connecting the top 25 collaborators of Richard Schlegel. A scholar is included among the top collaborators of Richard Schlegel 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 Schlegel. Richard Schlegel 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.
Xiao, Jerry, Marc E. Lippman, Paula R. Pohlmann, et al.. (2023). Propagated Circulating Tumor Cells Uncover the Potential Role of NFκB, EMT, and TGFβ Signaling Pathways and COP1 in Metastasis. Cancers. 15(6). 1831–1831. 6 indexed citations
2.
Li, Zaibo, Xiaokui Mo, Bhaskar Kallakury, et al.. (2023). Unlocking Translational Potential: Conditionally Reprogrammed Cells in Advancing Breast Cancer Research. Cells. 12(19). 2388–2388. 3 indexed citations
3.
Dakic, Aleksandra, Megan E. Spurgeon, Bhaskar Kallakury, et al.. (2022). AIB1 is a novel target of the high‐risk HPV E6 protein and a biomarker of cervical cancer progression. Journal of Medical Virology. 94(8). 3962–3977. 7 indexed citations
4.
Xiao, Jerry, Joseph R. McGill, Gray W. Pearson, et al.. (2022). Identifying drivers of breast cancer metastasis in progressively invasive subpopulations of zebrafish-xenografted MDA-MB-231. Molecular Biomedicine. 3(1). 16–16. 3 indexed citations
5.
Xiao, Jerry, Joseph R. McGill, Kelly Stanton, et al.. (2020). Efficient Propagation of Circulating Tumor Cells: A First Step for Probing Tumor Metastasis. Cancers. 12(10). 2784–2784. 17 indexed citations
6.
Suprynowicz, Frank A., Ewa Krawczyk, Seema Agarwal, et al.. (2017). Conditional cell reprogramming involves non-canonical β-catenin activation and mTOR-mediated inactivation of Akt. PLoS ONE. 12(7). e0180897–e0180897. 15 indexed citations
7.
Gentzsch, Martina, Chaitra Cheluvaraju, Nancy L. Quinney, et al.. (2017). Pharmacological Rescue of Conditionally Reprogrammed Cystic Fibrosis Bronchial Epithelial Cells. American Journal of Respiratory Cell and Molecular Biology. 56(5). 568–574. 100 indexed citations
8.
Agarwal, Seema, Kelly Stanton, Kurt A. Schalper, et al.. (2013). Abstract 1569: Next generation cell line models: conditionally reprogrammed cells.. Cancer Research. 73(8_Supplement). 1569–1569. 3 indexed citations
9.
Bulut, Gülay, Xuefeng Liu, Richard Schlegel, et al.. (2011). The E6 Oncoprotein from HPV16 Enhances the Canonical Wnt/β-Catenin Pathway in Skin Epidermis In Vivo. Molecular Cancer Research. 10(2). 250–258. 42 indexed citations
10.
Liu, Xuefeng, Jeffrey Roberts, Aleksandra Dakic, Yiyu Zhang, & Richard Schlegel. (2008). HPV E7 contributes to the telomerase activity of immortalized and tumorigenic cells and augments E6-induced hTERT promoter function. Virology. 375(2). 611–623. 71 indexed citations
11.
Disbrow, Gary L., Iruvanti Sunitha, Carl C. Baker, John A. Hanover, & Richard Schlegel. (2003). Codon optimization of the HPV-16 E5 gene enhances protein expression. Virology. 311(1). 105–114. 65 indexed citations
12.
13.
Suprynowicz, Frank A., Jason Sparkowski, Astrid Baege, & Richard Schlegel. (2000). E5 Oncoprotein Mutants Activate Phosphoinositide 3-Kinase Independently of Platelet-derived Growth Factor Receptor Activation. Journal of Biological Chemistry. 275(7). 5111–5119. 25 indexed citations
14.
Li, Jian Jian, J. S. Rhim, Richard Schlegel, Karen H. Vousden, & Nancy H. Colburn. (1998). Expression of dominant negative Jun inhibits elevated AP-1 and NF-κB transactivation and suppresses anchorage independent growth of HPV immortalized human keratinocytes. Oncogene. 16(21). 2711–2721. 101 indexed citations
15.
Stöppler, Hubert, Melissa C. Stoppler, Elizabeth Johnson, et al.. (1998). The E7 protein of human papillomavirus type 16 sensitizes primary human keratinocytes to apoptosis. Oncogene. 17(10). 1207–1214. 93 indexed citations
16.
Sparkowski, Jason, Martin Mense, Joanna Anders, & Richard Schlegel. (1996). E5 oncoprotein transmembrane mutants dissociate fibroblast transforming activity from 16-kilodalton protein binding and platelet-derived growth factor receptor binding and phosphorylation. Journal of Virology. 70(4). 2420–2430. 37 indexed citations
17.
Conrad, Melissa D., et al.. (1994). The E5 Protein of HPV-6, but Not HPV-16, Associates Efficiently with Cellular Growth Factor Receptors. Virology. 200(2). 796–800. 58 indexed citations
18.
Bell, Judith A., John P. Sundberg, Shin‐je Ghim, et al.. (1994). A Formalin-Inactivated Vaccine Protects against Mucosal Papillomavirus Infection: A Canine Model. Pathobiology. 62(4). 194–198. 66 indexed citations
19.
Schlegel, Richard, et al.. (1972). Inquiry into science : its domain and limits. Doubleday eBooks. 1 indexed citations
20.
Hoyle, F., J. V. Narlikar, & Richard Schlegel. (1962). Mach’s principle and the creation of matter. Proceedings of the Royal Society of London A Mathematical and Physical Sciences. 270(1342). 334–341. 136 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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