Jean S. Campbell

9.7k total citations · 2 hit papers
110 papers, 7.4k citations indexed

About

Jean S. Campbell is a scholar working on Molecular Biology, Hepatology and Oncology. According to data from OpenAlex, Jean S. Campbell has authored 110 papers receiving a total of 7.4k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Molecular Biology, 43 papers in Hepatology and 24 papers in Oncology. Recurrent topics in Jean S. Campbell's work include Liver physiology and pathology (38 papers), Liver Disease Diagnosis and Treatment (19 papers) and Organ Transplantation Techniques and Outcomes (13 papers). Jean S. Campbell is often cited by papers focused on Liver physiology and pathology (38 papers), Liver Disease Diagnosis and Treatment (19 papers) and Organ Transplantation Techniques and Outcomes (13 papers). Jean S. Campbell collaborates with scholars based in United States, Japan and Spain. Jean S. Campbell's co-authors include Nelson Fausto, Kimberly J. Riehle, Edwin G. Krebs, Gretchen Argast, E G Krebs, Daniel M. Dorsa, Jyoti J. Watters, Matthew J. Cunningham, Yock Young Dan and Patrick S. Stayton and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Jean S. Campbell

107 papers receiving 7.3k citations

Hit Papers

2 papers align trajectories

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.

Liver Regeneration

2006 1.1k citations Nelson Fausto, Jean S. Campbell et al. Hepatology profile →
The role of hepatocytes and oval cells in liver regeneration and repopulation

2002 519 citations Nelson Fausto, Jean S. Campbell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jean S. Campbell United States	46	3.3k	2.9k	1.9k	1.6k	1.2k	110	7.4k
Leo A. van Grunsven Belgium	46	3.6k 1.1×	2.1k 0.7×	1.4k 0.7×	1.8k 1.1×	1.4k 1.2×	148	7.3k
George C. Yeoh Australia	42	2.2k 0.7×	2.3k 0.8×	1.8k 1.0×	1.2k 0.8×	808 0.7×	157	5.7k
Antonia Follenzi Italy	48	4.6k 1.4×	1.1k 0.4×	1.2k 0.6×	1.6k 1.0×	1.0k 0.9×	156	8.9k
Lijian Hui China	38	3.7k 1.1×	1.5k 0.5×	1.3k 0.7×	794 0.5×	820 0.7×	88	6.1k
Okio Hino Japan	46	5.0k 1.5×	991 0.3×	613 0.3×	2.5k 1.6×	1.5k 1.3×	287	9.4k
Masakiyo Sakaguchi Japan	41	3.2k 1.0×	693 0.2×	919 0.5×	517 0.3×	737 0.6×	195	5.5k
Alfred S.L. Cheng Hong Kong	51	5.4k 1.6×	518 0.2×	766 0.4×	1.0k 0.7×	1.4k 1.2×	146	8.2k
Karen Kozarsky United States	40	3.9k 1.2×	356 0.1×	2.2k 1.2×	775 0.5×	1.2k 1.0×	74	7.3k
Phyllis M. Novikoff United States	37	2.4k 0.7×	740 0.3×	1.1k 0.6×	782 0.5×	895 0.8×	69	5.2k
Hongbing Zhang China	49	5.6k 1.7×	306 0.1×	669 0.4×	1.0k 0.7×	1.5k 1.3×	197	9.2k

Countries citing papers authored by Jean S. Campbell

Since Specialization

Citations

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

Fields of papers citing papers by Jean S. Campbell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean S. Campbell. 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 Jean S. Campbell. The network helps show where Jean S. Campbell may publish in the future.

Co-authorship network of co-authors of Jean S. Campbell

This figure shows the co-authorship network connecting the top 25 collaborators of Jean S. Campbell. A scholar is included among the top collaborators of Jean S. Campbell 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 Jean S. Campbell. Jean S. Campbell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Qin, Tingting, Austin K. Mattox, Jean S. Campbell, et al.. (2025). Epigenetic therapy sensitizes anti–PD-1 refractory head and neck cancers to immunotherapy rechallenge. Journal of Clinical Investigation. 135(6). 5 indexed citations

Daniel, Sara K., Kevin M. Sullivan, Renske J.E. van den Bijgaart, et al.. (2024). Reversing immunosuppression in the tumor microenvironment of fibrolamellar carcinoma via PD-1 and IL-10 blockade. Scientific Reports. 14(1). 5109–5109. 5 indexed citations

Voillet, Valentin, Trisha R. Berger, Kelly M. McKenna, et al.. (2022). An In Vivo Model of Human Macrophages in Metastatic Melanoma. The Journal of Immunology. 209(3). 606–620. 7 indexed citations

Church, Candice D., Thomas H. Pulliam, Song Y. Park, et al.. (2022). Transcriptional and functional analyses of neoantigen-specific CD4 T cells during a profound response to anti-PD-L1 in metastatic Merkel cell carcinoma. Journal for ImmunoTherapy of Cancer. 10(9). e005328–e005328. 14 indexed citations

Andtbacka, Robert H.I., Robert H. Pierce, Jean S. Campbell, et al.. (2022). Mavorixafor, an Orally Bioavailable CXCR4 Antagonist, Increases Immune Cell Infiltration and Inflammatory Status of Tumor Microenvironment in Patients with Melanoma. Cancer Research Communications. 2(8). 904–913. 15 indexed citations

Schroeder, Brett, Bonnie LaFleur, Rachel Gittelman, et al.. (2021). CD4+ T cell and M2 macrophage infiltration predict dedifferentiated liposarcoma patient outcomes. Journal for ImmunoTherapy of Cancer. 9(8). e002812–e002812. 25 indexed citations

O’Brien, Valerie P., Amanda Koehne, Julien Dubrulle, et al.. (2020). Sustained Helicobacter pylori infection accelerates gastric dysplasia in a mouse model. Life Science Alliance. 4(2). e202000967–e202000967. 7 indexed citations

Ishida, Eiichi, Jina Lee, Jean S. Campbell, et al.. (2019). Intratumoral delivery of an HPV vaccine elicits a broad anti-tumor immune response that translates into a potent anti-tumor effect in a preclinical murine HPV model. Cancer Immunology Immunotherapy. 68(8). 1273–1286. 7 indexed citations

Bhatia, Shailender, Natalie Miller, Rima M. Kulikauskas, et al.. (2019). Intratumoral Delivery of Plasmid IL12 Via Electroporation Leads to Regression of Injected and Noninjected Tumors in Merkel Cell Carcinoma. Clinical Cancer Research. 26(3). 598–607. 70 indexed citations

10.

Burkart, Christoph, A. Mukhopadhyay, Shawna A. Shirley, et al.. (2018). Improving therapeutic efficacy of IL-12 intratumoral gene electrotransfer through novel plasmid design and modified parameters. Gene Therapy. 25(2). 93–103. 22 indexed citations

11.

Mukhopadhyay, Anandaroop, Jocelyn H. Wright, Shawna A. Shirley, et al.. (2018). Characterization of abscopal effects of intratumoral electroporation-mediated IL-12 gene therapy. Gene Therapy. 26(1-2). 1–15. 43 indexed citations

12.

Riehle, Kimberly J., Melissa M. Johnson, Fredrik Johansson, et al.. (2013). Tissue-type plasminogen activator is not necessary for platelet-derived growth factor-c activation. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1842(2). 318–325. 9 indexed citations

13.

Okada, Hikari, Masao Honda, Jean S. Campbell, et al.. (2012). Acyclic Retinoid Targets Platelet-Derived Growth Factor Signaling in the Prevention of Hepatic Fibrosis and Hepatocellular Carcinoma Development. Cancer Research. 72(17). 4459–4471. 48 indexed citations

14.

Riehle, Kimberly J., Jean S. Campbell, Ryan S. McMahan, et al.. (2007). Regulation of liver regeneration and hepatocarcinogenesis by suppressor of cytokine signaling 3. The Journal of Experimental Medicine. 205(1). 91–103. 129 indexed citations

15.

Dan, Yock Young, Kimberly J. Riehle, Catherine A. Lázaro, et al.. (2006). Isolation of multipotent progenitor cells from human fetal liver capable of differentiating into liver and mesenchymal lineages. Proceedings of the National Academy of Sciences. 103(26). 9912–9917. 243 indexed citations

16.

Nguyen, Lananh, Matthew S. Holdren, Momoko Furuya, et al.. (2006). Sorting Nexin 1 Down-Regulation Promotes Colon Tumorigenesis. Clinical Cancer Research. 12(23). 6952–6959. 33 indexed citations

17.

Ueno, Shinichi, Jean S. Campbell, & Nelson Fausto. (2006). Reactive Oxygen Species Derived From NADPH Oxidase System is Not Essential for Liver Regeneration After Partial Hepatectomy. Journal of Surgical Research. 136(2). 260–265. 5 indexed citations

18.

Campbell, Jean S., Kimberly J. Riehle, John Brooling, et al.. (2006). Proinflammatory Cytokine Production in Liver Regeneration Is Myd88 -Dependent, but Independent of Cd14 , Tlr2 , and Tlr4. The Journal of Immunology. 176(4). 2522–2528. 81 indexed citations

19.

Lázaro, Catherine A., Emma Croager, Claudia Mitchell, et al.. (2003). Establishment, Characterization, and Long–Term Maintenance of Cultures of Human Fetal Hepatocytes. Hepatology. 38(5). 1095–1106. 158 indexed citations

20.

Campbell, Jean S., Lisa Prichard, Fred Schaper, et al.. (2001). Expression of suppressors of cytokine signaling during liver regeneration. Journal of Clinical Investigation. 107(10). 1285–1292. 131 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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