Michael Wichroski

1.8k total citations · 1 hit paper
20 papers, 1.3k citations indexed

About

Michael Wichroski is a scholar working on Epidemiology, Immunology and Oncology. According to data from OpenAlex, Michael Wichroski has authored 20 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Epidemiology, 9 papers in Immunology and 5 papers in Oncology. Recurrent topics in Michael Wichroski's work include Hepatitis B Virus Studies (7 papers), Cancer Immunotherapy and Biomarkers (5 papers) and Hepatitis C virus research (5 papers). Michael Wichroski is often cited by papers focused on Hepatitis B Virus Studies (7 papers), Cancer Immunotherapy and Biomarkers (5 papers) and Hepatitis C virus research (5 papers). Michael Wichroski collaborates with scholars based in United States, Germany and China. Michael Wichroski's co-authors include Tariq M. Rana, Daniel J. Tenney, Kevin A. Pokornowski, Carl J. Baldick, Jie Fang, Ronald E. Rose, Richard B. Wilber, Betsy J. Eggers, Dong Xu and Richard J. Colonno and has published in prestigious journals such as Journal of Biological Chemistry, Gastroenterology and PLoS ONE.

In The Last Decade

Michael Wichroski

20 papers receiving 1.3k citations

Hit Papers

Long-term monitoring shows hepatitis B virus resistance t... 2009 2026 2014 2020 2009 200 400 600

Peers

Michael Wichroski
Claire Dunn United Kingdom
A Valli Italy
Andreas R. Kammer Switzerland
Robert J. Durso United States
Gregor Ebert Australia
Sharon E. Hopcraft United States
Michael Wichroski
Citations per year, relative to Michael Wichroski Michael Wichroski (= 1×) peers Motoko Nagano‐Fujii

Countries citing papers authored by Michael Wichroski

Since Specialization
Citations

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

Fields of papers citing papers by Michael Wichroski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Wichroski

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Wichroski. A scholar is included among the top collaborators of Michael Wichroski 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 Michael Wichroski. Michael Wichroski 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.
Niu, Nan, Keyu Li, Jun-Ke Wang, et al.. (2025). Chemotherapy in synergy with innate immune agonists enhances T cell priming for checkpoint inhibitor treatment in pancreatic cancer. Biomarker Research. 13(1). 21–21. 2 indexed citations
2.
Walsh, Michael J., Megan T. Hoffman, Michael Dougan, et al.. (2023). DGKα/ζ inhibition lowers the TCR affinity threshold and potentiates antitumor immunity. Science Advances. 9(47). 5 indexed citations
3.
Chupak, Louis, Michael Wichroski, Xiaofan Zheng, et al.. (2023). Discovery of Potent, Dual-Inhibitors of Diacylglycerol Kinases Alpha and Zeta Guided by Phenotypic Optimization. ACS Medicinal Chemistry Letters. 14(7). 929–935. 10 indexed citations
4.
Kumar, Namit, Simon Papillon‐Cavanagh, Hao Tang, et al.. (2022). A multi‐omic single cell sequencing approach to develop a CD8 T cell specific gene signature for anti‐PD1 response in solid tumors. International Journal of Cancer. 151(11). 2043–2054. 5 indexed citations
5.
Gu, Junchen, Cindy Wang, Carolyn Cao, et al.. (2021). DGKζ exerts greater control than DGKα over CD8 + T cell activity and tumor inhibition. OncoImmunology. 10(1). 1941566–1941566. 10 indexed citations
6.
Davra, Viralkumar, Sushil Kumar, Ke Geng, et al.. (2020). Axl and Mertk Receptors Cooperate to Promote Breast Cancer Progression by Combined Oncogenic Signaling and Evasion of Host Antitumor Immunity. Cancer Research. 81(3). 698–712. 61 indexed citations
7.
Fujiwara, Kenji, Jing Hao, Brian Herbst, et al.. (2020). Correction: Incidence rates of immune-related adverse events and their correlation with response in advanced solid tumours treated with NIVO or NIVO+IPI: a systematic review and meta-analysis. Journal for ImmunoTherapy of Cancer. 8(2). e0779–6corr1. 1 indexed citations
8.
Fujiwara, Kenji, May Tun Saung, Hao Jing, et al.. (2020). Interrogating the immune-modulating roles of radiation therapy for a rational combination with immune-checkpoint inhibitors in treating pancreatic cancer. Journal for ImmunoTherapy of Cancer. 8(2). e000351–e000351. 29 indexed citations
9.
Kasikara, Canan, Viralkumar Davra, David Calianese, et al.. (2019). Pan-TAM Tyrosine Kinase Inhibitor BMS-777607 Enhances Anti–PD-1 mAb Efficacy in a Murine Model of Triple-Negative Breast Cancer. Cancer Research. 79(10). 2669–2683. 93 indexed citations
10.
Balsitis, Scott, Susan Chaniewski, Steven M. LeVine, et al.. (2018). Safety and efficacy of anti-PD-L1 therapy in the woodchuck model of HBV infection. PLoS ONE. 13(2). e0190058–e0190058. 37 indexed citations
11.
Wichroski, Michael, Jie Fang, Betsy J. Eggers, et al.. (2012). High-Throughput Screening and Rapid Inhibitor Triage Using an Infectious Chimeric Hepatitis C Virus. PLoS ONE. 7(8). e42609–e42609. 8 indexed citations
12.
Baldick, Carl J., Michael Wichroski, Annapurna Pendri, et al.. (2010). A Novel Small Molecule Inhibitor of Hepatitis C Virus Entry. PLoS Pathogens. 6(9). e1001086–e1001086. 69 indexed citations
13.
Tenney, Daniel J., Ronald E. Rose, Carl J. Baldick, et al.. (2009). Long-term monitoring shows hepatitis B virus resistance to entecavir in nucleoside-naïve patients is rare through 5 years of therapy #. Hepatology. 49(5). 1503–1514. 607 indexed citations breakdown →
14.
Tenney, Daniel J., Kevin A. Pokornowski, R.E. Rose, et al.. (2009). 20 ENTECAVIR MAINTAINS A HIGH GENETIC BARRIER TO HBV RESISTANCE THROUGH 6 YEARS IN NAIVE PATIENTS. Journal of Hepatology. 50. S10–S10. 55 indexed citations
15.
Tenney, Daniel J., Kevin A. Pokornowski, Ronald E. Rose, et al.. (2009). W1805 Entecavir Maintains a High Genetic Barrier to HBV Resistance Through 6 Years in NaïVE Patients. Gastroenterology. 136(5). A–865. 20 indexed citations
16.
Fang, Jie, Michael Wichroski, Steven M. LeVine, et al.. (2009). Ultrasensitive Genotypic Detection of Antiviral Resistance in Hepatitis B Virus Clinical Isolates. Antimicrobial Agents and Chemotherapy. 53(7). 2762–2772. 9 indexed citations
17.
Wichroski, Michael, G. Brett Robb, & Tariq M. Rana. (2006). Human Retroviral Host Restriction Factors APOBEC3G and APOBEC3F Localize to mRNA Processing Bodies. PLoS Pathogens. 2(5). e41–e41. 166 indexed citations
18.
Wichroski, Michael, et al.. (2004). Analysis of HIV-1 Viral Infectivity Factor-mediated Proteasome-dependent Depletion of APOBEC3G. Journal of Biological Chemistry. 280(9). 8387–8396. 59 indexed citations
19.
Wichroski, Michael & Gary E. Ward. (2003). Biosynthesis of Glycosylphosphatidylinositol Is Essential to the Survival of the Protozoan Parasite Toxoplasma gondii. Eukaryotic Cell. 2(5). 1132–1136. 26 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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