Leisa Johnson

5.9k total citations · 1 hit paper
23 papers, 4.3k citations indexed

About

Leisa Johnson is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Leisa Johnson has authored 23 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 10 papers in Oncology and 6 papers in Genetics. Recurrent topics in Leisa Johnson's work include Virus-based gene therapy research (6 papers), Cancer Cells and Metastasis (4 papers) and Cancer-related Molecular Pathways (4 papers). Leisa Johnson is often cited by papers focused on Virus-based gene therapy research (6 papers), Cancer Cells and Metastasis (4 papers) and Cancer-related Molecular Pathways (4 papers). Leisa Johnson collaborates with scholars based in United States, France and United Kingdom. Leisa Johnson's co-authors include Tyler Jacks, Roderick T. Bronson, Doron C. Greenbaum, Kim L. Mercer, David A. Tuveson, Denise Crowley, Kevin G. Leong, Wei‐Qiang Gao, Bu-Er Wang and Terry Hermiston and has published in prestigious journals such as Nature, Journal of Clinical Investigation and Nature Medicine.

In The Last Decade

Leisa Johnson

23 papers receiving 4.2k citations

Hit Papers

Somatic activation of the... 2001 2026 2009 2017 2001 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Leisa Johnson 2.9k 1.9k 1.2k 695 670 23 4.3k
Nicholas A. Willis 3.7k 1.3× 2.3k 1.2× 501 0.4× 998 1.4× 721 1.1× 37 5.4k
David W. Yandell 3.9k 1.3× 3.1k 1.6× 954 0.8× 1.2k 1.7× 751 1.1× 67 7.0k
David W. Goodrich 3.1k 1.1× 2.3k 1.2× 525 0.4× 788 1.1× 1.1k 1.7× 97 5.0k
Peter A. Steck 4.4k 1.5× 1.6k 0.8× 508 0.4× 1.1k 1.6× 501 0.7× 69 5.8k
Aart G. Jochemsen 2.8k 1.0× 2.0k 1.0× 391 0.3× 483 0.7× 326 0.5× 70 3.7k
Eduardo Firpo 3.1k 1.1× 2.7k 1.4× 548 0.4× 573 0.8× 234 0.3× 21 4.5k
Kim L. Mercer 2.6k 0.9× 1.6k 0.8× 335 0.3× 737 1.1× 532 0.8× 15 3.9k
Frank Bartel 2.5k 0.9× 1.9k 1.0× 315 0.3× 841 1.2× 424 0.6× 65 3.6k
Brian Elenbaas 2.8k 1.0× 2.4k 1.3× 511 0.4× 640 0.9× 263 0.4× 26 4.1k
Claude Caron de Fromentel 2.3k 0.8× 2.5k 1.3× 339 0.3× 924 1.3× 362 0.5× 49 3.8k

Countries citing papers authored by Leisa Johnson

Since Specialization
Citations

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

Fields of papers citing papers by Leisa Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leisa Johnson

This figure shows the co-authorship network connecting the top 25 collaborators of Leisa Johnson. A scholar is included among the top collaborators of Leisa Johnson 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 Leisa Johnson. Leisa Johnson 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.
Barck, Kai, Hani Bou-Reslan, Jason E. Long, et al.. (2015). Quantification of Tumor Burden in a Genetically Engineered Mouse Model of Lung Cancer by Micro-CT and Automated Analysis. Translational Oncology. 8(2). 126–135. 11 indexed citations
2.
Chen, Honglin, James Lee, Noelyn M. Kljavin, et al.. (2015). Abstract 2259: Requirement for BUB1B in tumor progression of lung adenocarcinoma. Cancer Research. 75(15_Supplement). 2259–2259. 1 indexed citations
3.
Chen, Honglin, James Lee, Noelyn M. Kljavin, et al.. (2015). Requirement for BUB1B/BUBR1 in tumor progression of lung adenocarcinoma. Genes & Cancer. 6(3-4). 106–118. 43 indexed citations
4.
Sun, Yuting, Anneleen Daemen, Georgia Hatzivassiliou, et al.. (2014). Metabolic and transcriptional profiling reveals pyruvate dehydrogenase kinase 4 as a mediator of epithelial-mesenchymal transition and drug resistance in tumor cells. Cancer & Metabolism. 2(1). 20–20. 98 indexed citations
5.
Rappaport, Amy & Leisa Johnson. (2014). Genetically Engineered Knock-In and Conditional Knock-In Mouse Models of Cancer. Cold Spring Harbor Protocols. 2014(9). pdb.top069799–pdb.top069799. 5 indexed citations
6.
Sun, Yuting, Bu-Er Wang, Kevin G. Leong, et al.. (2011). Androgen Deprivation Causes Epithelial–Mesenchymal Transition in the Prostate: Implications for Androgen-Deprivation Therapy. Cancer Research. 72(2). 527–536. 287 indexed citations
7.
Smyczek, Tanya, Jason Cheng, Rafael Molina, et al.. (2011). Abstract 3295: Inhibiting vascular morphogenesis in tumors: EGFL7 as a novel therapeutic target. Cancer Research. 71(8_Supplement). 3295–3295. 4 indexed citations
8.
Singh, Mallika, Rafael Molina, Vidusha Devasthali, et al.. (2010). Assessing therapeutic responses in Kras mutant cancers using genetically engineered mouse models. Nature Biotechnology. 28(6). 585–593. 175 indexed citations
9.
Murphy, Daniel J., Melissa R. Junttila, Laurent Pouyet, et al.. (2008). Distinct Thresholds Govern Myc's Biological Output In Vivo. Cancer Cell. 14(6). 447–457. 340 indexed citations
10.
Leong, Kevin G., Bu-Er Wang, Leisa Johnson, & Wei‐Qiang Gao. (2008). Generation of a prostate from a single adult stem cell. Nature. 456(7223). 804–808. 332 indexed citations
11.
Singh, Mallika & Leisa Johnson. (2006). Using Genetically Engineered Mouse Models of Cancer to Aid Drug Development: An Industry Perspective. Clinical Cancer Research. 12(18). 5312–5328. 60 indexed citations
12.
Chan, Iris T., Jeffery L. Kutok, Ifor R. Williams, et al.. (2004). Conditional expression of oncogenic K-ras from its endogenous promoter induces a myeloproliferative disease. Journal of Clinical Investigation. 113(4). 528–538. 205 indexed citations
13.
O’Shea, Clodagh C., Leisa Johnson, Serah Choi, et al.. (2004). Late viral RNA export, rather than p53 inactivation, determines ONYX-015 tumor selectivity. Cancer Cell. 6(6). 611–623. 291 indexed citations
14.
Chan, Iris T., Jeffery L. Kutok, Ifor R. Williams, et al.. (2004). Conditional expression of oncogenic K-ras from its endogenous promoter induces a myeloproliferative disease. Journal of Clinical Investigation. 113(4). 528–538. 21 indexed citations
15.
Johnson, Leisa, Annie Shen, John Charles Kunich, et al.. (2002). Selectively replicating adenoviruses targeting deregulated E2F activity are potent, systemic antitumor agents. Cancer Cell. 1(4). 325–337. 150 indexed citations
16.
Zhang, Zhongqiu, Haris G. Vikis, Leisa Johnson, et al.. (2001). Wildtype Kras2 can inhibit lung carcinogenesis in mice. Nature Genetics. 29(1). 25–33. 245 indexed citations
17.
Johnson, Leisa, et al.. (2001). Gene delivery from the E3 region of replicating human adenovirus: evaluation of the 6.7 K/gp19 K region. Gene Therapy. 8(15). 1123–1131. 81 indexed citations
18.
Johnson, Leisa, Kim L. Mercer, Doron C. Greenbaum, et al.. (2001). Somatic activation of the K-ras oncogene causes early onset lung cancer in mice. Nature. 410(6832). 1111–1116. 906 indexed citations breakdown →
19.
Heise, Carla, Terry Hermiston, Leisa Johnson, et al.. (2000). An adenovirus E1A mutant that demonstrates potent and selective systemic anti-tumoral efficacy. Nature Medicine. 6(10). 1134–1139. 483 indexed citations
20.
Johnson, Leisa, Doron C. Greenbaum, Karen Cichowski, et al.. (1997). K-ras is an essential gene in the mouse with partial functional overlap with N-ras. Genes & Development. 11(19). 2468–2481. 449 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026