Peter G. Mohr

1.5k total citations
43 papers, 1.1k citations indexed

About

Peter G. Mohr is a scholar working on Immunology, Oncology and Epidemiology. According to data from OpenAlex, Peter G. Mohr has authored 43 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Immunology, 13 papers in Oncology and 10 papers in Epidemiology. Recurrent topics in Peter G. Mohr's work include Influenza Virus Research Studies (9 papers), Cancer Immunotherapy and Biomarkers (9 papers) and Aquaculture disease management and microbiota (9 papers). Peter G. Mohr is often cited by papers focused on Influenza Virus Research Studies (9 papers), Cancer Immunotherapy and Biomarkers (9 papers) and Aquaculture disease management and microbiota (9 papers). Peter G. Mohr collaborates with scholars based in Australia, Germany and United States. Peter G. Mohr's co-authors include David M. Cahill, Jennifer L. McKimm‐Breschkin, Susan Barrett, Bernard A. Kunz, NJG Moody, Péter Schmidt, LM Williams, Yi‐Mo Deng, Edward J. Vonarx and Megan J. Osmond-McLeod and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Peter G. Mohr

40 papers receiving 1.0k citations

Peers

Peter G. Mohr
Peter G. Mohr
Citations per year, relative to Peter G. Mohr Peter G. Mohr (= 1×) peers Huiting Cui

Countries citing papers authored by Peter G. Mohr

Since Specialization
Citations

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

Fields of papers citing papers by Peter G. Mohr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter G. Mohr. 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 Peter G. Mohr. The network helps show where Peter G. Mohr may publish in the future.

Co-authorship network of co-authors of Peter G. Mohr

This figure shows the co-authorship network connecting the top 25 collaborators of Peter G. Mohr. A scholar is included among the top collaborators of Peter G. Mohr 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 Peter G. Mohr. Peter G. Mohr 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.
Heidrich, Isabel, Daniel J. Smit, Rüdiger Greinert, et al.. (2025). Baseline D-dimers as predictive marker of efficacy of cemiplimab treatment in cutaneous squamous cell carcinoma. European Journal of Cancer. 226. 115639–115639.
2.
Weichenthal, Michael, Inge Marie Svane, Johanna Mangana, et al.. (2024). Real-World efficiency of pembrolizumab in metastatic melanoma patients following adjuvant anti-PD1 treatment. SHILAP Revista de lepidopterología. 2. 100271–100271. 1 indexed citations
3.
Mohr, Peter G., Eva Ellebæk, Joanna Mangana, et al.. (2024). Length of treatment after partial or complete remission in immunotherapy for metastatic melanoma: An EUMelaReg real world study.. Journal of Clinical Oncology. 42(16_suppl). 9531–9531. 1 indexed citations
4.
Lijnsvelt, J., Sanna Iivanainen, Maria Grazia Vitale, et al.. (2023). CN3 Patient adherence to digital patient-reported outcome monitoring (PROM) in cancer immunotherapies. Annals of Oncology. 34. S1226–S1227.
5.
Weichenthal, Michael, Dirk Schadendorf, Lars Bastholt, et al.. (2023). 1104P Efficacy of immune checkpoint inhibition in metastatic or non-resectable melanoma after failure of adjuvant anti-PD1 treatment: A EUMelareg real-world evidence study. Annals of Oncology. 34. S665–S666. 2 indexed citations
8.
Weichenthal, Michael, Inge Marie Svane, Lidija Kandolf Sekulović, et al.. (2022). EMRseq: Registry-based outcome analysis on 1,000 patients with BRAF V600–mutated metastatic melanoma in Europe treated with either immune checkpoint or BRAF-/MEK inhibition.. Journal of Clinical Oncology. 40(16_suppl). 9540–9540. 4 indexed citations
9.
Samsing, Francisca, et al.. (2020). Comparative transcriptome analysis of pilchard orthomyxovirus (POMV) and infectious salmon anaemia virus (ISAV). Fish & Shellfish Immunology. 105. 415–426. 8 indexed citations
10.
Cowley, Jeff A., et al.. (2019). TaqMan real-time and conventional nested PCR tests specific to yellow head virus genotype 7 (YHV7) identified in giant tiger shrimp in Australia. Journal of Virological Methods. 273. 113689–113689. 9 indexed citations
11.
Mohr, Peter G., Yi‐Mo Deng, & Jennifer L. McKimm‐Breschkin. (2015). The neuraminidases of MDCK grown human influenza A(H3N2) viruses isolated since 1994 can demonstrate receptor binding. Virology Journal. 12(1). 67–67. 36 indexed citations
12.
Mohr, Peter G., et al.. (2015). Molecular confirmation of infectious spleen and kidney necrosis virus (ISKNV) in farmed and imported ornamental fish in Australia. Diseases of Aquatic Organisms. 116(2). 103–110. 36 indexed citations
13.
McKimm‐Breschkin, Jennifer L., Susan Barrett, Muhammad Azhar, et al.. (2013). I222 Neuraminidase Mutations Further Reduce Oseltamivir Susceptibility of Indonesian Clade 2.1 Highly Pathogenic Avian Influenza A(H5N1) Viruses. PLoS ONE. 8(6). e66105–e66105. 21 indexed citations
14.
McKimm‐Breschkin, Jennifer L., Susan Barrett, Kim Jachno, et al.. (2013). Reduced susceptibility to all neuraminidase inhibitors of influenza H1N1 viruses with haemagglutinin mutations and mutations in non-conserved residues of the neuraminidase. Journal of Antimicrobial Chemotherapy. 68(10). 2210–2221. 35 indexed citations
15.
McKimm‐Breschkin, Jennifer L., Christina L. Rootes, Peter G. Mohr, Susan Barrett, & Victor A. Streltsov. (2012). In vitro passaging of a pandemic H1N1/09 virus selects for viruses with neuraminidase mutations conferring high-level resistance to oseltamivir and peramivir, but not to zanamivir. Journal of Antimicrobial Chemotherapy. 67(8). 1874–1883. 26 indexed citations
16.
Stewart, Cameron R., Adam J. Karpala, Sue Lowther, et al.. (2011). Toll-Like Receptor 7 Ligands Inhibit Influenza A Infection in Chickens. Journal of Interferon & Cytokine Research. 32(1). 46–51. 40 indexed citations
17.
Barrett, Susan, Peter G. Mohr, Péter Schmidt, & Jennifer L. McKimm‐Breschkin. (2011). Real Time Enzyme Inhibition Assays Provide Insights into Differences in Binding of Neuraminidase Inhibitors to Wild Type and Mutant Influenza Viruses. PLoS ONE. 6(8). e23627–e23627. 37 indexed citations
18.
Nah, Gyoungju, Peter G. Mohr, Meizhong Luo, et al.. (2009). Comparative sequence analysis of the SALT OVERLY SENSITIVE1 orthologous region in Thellungiella halophila and Arabidopsis thaliana. Genomics. 94(3). 196–203. 13 indexed citations
19.
Kunz, Bernard A., David M. Cahill, Peter G. Mohr, Megan J. Osmond-McLeod, & Edward J. Vonarx. (2006). Plant Responses to UV Radiation and Links to Pathogen Resistance. International review of cytology. 1–40. 55 indexed citations
20.
Mohr, Peter G. & David M. Cahill. (2006). Suppression by ABA of salicylic acid and lignin accumulation and the expression of multiple genes, in Arabidopsis infected with Pseudomonas syringae pv. tomato. Functional & Integrative Genomics. 7(3). 181–191. 212 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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