David M. Jablons
Impact in
- Oncology top 0.2%
- Lung Cancer Research Studies
- Pulmonary and Respiratory Medicine top 0.2%
- Lung Cancer Treatments and Mutations
- Lung Cancer Diagnosis and Treatment
- Occupational and environmental lung diseases
- Pleural and Pulmonary Diseases
Papers in
-
- Lung Cancer Treatments and Mutations 56
- Lung Cancer Diagnosis and Treatment 42
- Occupational and environmental lung diseases 34
- Oncology 97
- Lung Cancer Research Studies 28
- Co-authors
- Liang YouZhidong XuBiao HeFrank McCormickKazutsugu UematsuJulien MazièresAmie Y. LeeIwao Mikami
- Journals
- Journal of Thoracic Oncology (16 papers)Clinical Lung Cancer (13 papers)Oncotarget (12 papers)Oncogene (9 papers)Lung Cancer (9 papers)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
David M. Jablons
269 papers receiving 13.9k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Oncology 4.8k
- Pulmonary and Respiratory Medicine 5.2k
- Cancer Research 2.0k
- Molecular Biology 6.9k
- Immunology 1.5k
Countries citing papers authored by David M. Jablons
This map shows the geographic impact of David M. Jablons'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 David M. Jablons with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David M. Jablons more than expected).
Fields of papers citing papers by David M. Jablons
This network shows the impact of papers produced by David M. Jablons. 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 David M. Jablons. The network helps show where David M. Jablons may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David M. Jablons, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 24 | |
| 2 | 2019 | 21 | |
| 3 | 2019 | 7 | |
| 4 | 2019 | 6 | |
| 5 | 2019 | 29 | |
| 6 | 2018 | 26 | |
| 7 | 2018 | 69 | |
| 8 | 2017 | 50 | |
| 9 | 2014 | 79 | |
| 10 | 2012 | 14 | |
| 11 | 2010 | 61 | |
| 12 | 2009 | 76 | |
| 13 | 2009 | 32 | |
| 14 | 2008 | 60 | |
| 15 | 2008 | 84 | |
| 16 | 2008 | 20 | |
| 17 | 2007 | 187 | |
| 18 | 2003 | 312 | |
| 19 | 2002 | 74 | |
| 20 | Aberrations in the fragile histidine triad (FHIT) gene in idiopathic pulmonary fibrosis. | 2001 | 49 |
About David M. Jablons
David M. Jablons is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Biotechnology, Cancer Research and Molecular Biology, having authored 273 papers that have together received 14.2k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (56 papers), Lung Cancer Diagnosis and Treatment (42 papers), Wnt/β-catenin signaling in development and cancer (41 papers), Cancer-related gene regulation (40 papers), Occupational and environmental lung diseases (34 papers), Epigenetics and DNA Methylation (30 papers), Lung Cancer Research Studies (28 papers) and Cancer Research and Treatments (21 papers). The work is most often cited by research in Oncology (4.8k citations), Pulmonary and Respiratory Medicine (5.2k citations), Cancer Research (2.0k citations), Molecular Biology (6.9k citations) and Immunology (1.5k citations). David M. Jablons has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Liang You, Zhidong Xu, Biao He, Frank McCormick, Kazutsugu Uematsu, Julien Mazières, Amie Y. Lee, Iwao Mikami, John Nemunaitis and Cheng‐Ta Yang. Their work appears in journals such as Journal of Thoracic Oncology, Clinical Lung Cancer, Oncotarget, Oncogene and Lung Cancer.
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.