P. V. Zimmerman
- Pulmonary and Respiratory Medicine top 2%
- Molecular Biology
- Oncology top 5%
- Physiology top 5%
- Cancer Research top 10%
- Co-authors
- Kwun M. FongIan A. YangPeter J. SmithAnnette DentJohn D. MinnaTom G. SutedjaG. A. T. HawsonMichael Bint
- Topics
- Lung Cancer Treatments and Mutations (10 papers)Lung Cancer Diagnosis and Treatment (8 papers)Chronic Obstructive Pulmonary Disease (COPD) Research (7 papers)
- Journals
- The LancetJournal of NeuroscienceSHILAP Revista de lepidopterología
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
P. V. Zimmerman
52 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 140
- Pulmonary and Respiratory Medicine 981
- Molecular Biology 670
- Oncology 482
- Physiology 434
- Cancer Research 308
Countries citing papers authored by P. V. Zimmerman
This map shows the geographic impact of P. V. Zimmerman'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 P. V. Zimmerman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. V. Zimmerman more than expected).
Fields of papers citing papers by P. V. Zimmerman
This network shows the impact of papers produced by P. V. Zimmerman. 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 P. V. Zimmerman. The network helps show where P. V. Zimmerman may publish in the future.
Co-authorship network of co-authors of P. V. Zimmerman
This figure shows the co-authorship network connecting the top 25 collaborators of P. V. Zimmerman. A scholar is included among the top collaborators of P. V. Zimmerman 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 P. V. Zimmerman. P. V. Zimmerman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 58 | |
| 3 | 134 | |
| 4 | 25 | |
| 5 | 50 | |
| 6 | 5 | |
| 7 | 13 | |
| 8 | 58 | |
| 9 | 27 | |
| 10 | 23 | |
| 11 | 45 | |
| 12 | 63 | |
| 13 | 12 | |
| 14 | 56 | |
| 15 | Correlation of abnormal RB, p16ink4a, and p53 expression with 3p loss of heterozygosity, other genetic abnormalities, and clinical features in 103 primary non-small cell lung cancers. | 93 |
| 16 | 9 | |
| 17 | FHIT and FRA3B 3p14.2 allele loss are common in lung cancer and preneoplastic bronchial lesions and are associated with cancer-related FHIT cDNA splicing aberrations. | 170 |
| 18 | 5 | |
| 19 | 50 | |
| 20 | 7 |
About P. V. Zimmerman
P. V. Zimmerman is a scholar working on Pulmonary and Respiratory Medicine, Speech and Hearing and Aging, having authored 53 papers that have together received 2.5k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (10 papers), Lung Cancer Diagnosis and Treatment (8 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (7 papers). The work is most often cited by research in Endocrine and Autonomic Systems (238 citations), Pulmonary and Respiratory Medicine (981 citations) and Aging (40 citations). P. V. Zimmerman has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Kwun M. Fong, Ian A. Yang, Peter J. Smith, Annette Dent, John D. Minna, Tom G. Sutedja, G. A. T. Hawson, Michael Bint, Peter G. Parsons and Ral Antic. Their work appears in journals such as The Lancet, Journal of Neuroscience and SHILAP Revista de lepidopterología.
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.