Tockman Ms
Impact in
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- Lung Cancer Diagnosis and Treatment
- Lung Cancer Treatments and Mutations
- Chronic Obstructive Pulmonary Disease (COPD) Research
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- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
Papers in
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- Lung Cancer Diagnosis and Treatment 2
- Chronic Obstructive Pulmonary Disease (COPD) Research 1
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- Glycosylation and Glycoproteins Research 1
- RNA modifications and cancer 1
- Co-authors
- Gupta Pk (2 shared papers)Frost Jk (1 shared paper)Baker Rr (1 shared paper)Eggleston Jc (1 shared paper)Levin Ml (1 shared paper)Erozan Ys (1 shared paper)Solbert Permutt (2 shared papers)Shu‐Hao Hsu (1 shared paper)
- Journals
- PubMed (7 papers)
- Partner nations
- United States
In The Last Decade
Tockman Ms
7 papers receiving 451 citations
Peers
Comparison fields: 5 of 64
- Pulmonary and Respiratory Medicine 376
- Radiology, Nuclear Medicine and Imaging 153
- Otorhinolaryngology 21
- Oncology 105
- Microbiology 2
Countries citing papers authored by Tockman Ms
This map shows the geographic impact of Tockman Ms'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 Tockman Ms with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tockman Ms more than expected).
Fields of papers citing papers by Tockman Ms
This network shows the impact of papers produced by Tockman Ms. 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 Tockman Ms. The network helps show where Tockman Ms may publish in the future.
Co-authors
The 12 scholars most cited alongside Tockman Ms, 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 | 1984 | 332 | |
| 2 | Radiographic screening in the early detection of lung cancer. | 1978 | 83 |
| 3 | A genetic-epidemiologic study of chronic obstructive pulmonary disease. I. Study design and preliminary observations. | 1975 | 34 |
| 4 | Rational targets for the early detection of lung cancer. | 1992 | 15 |
| 5 | Patterns of forced expiratory flows in groups at risk for chronic obstructive pulmonary disease. | 1980 | 6 |
| 6 | Epidemiology in the workplace: the problem of misclassification. | 1982 | 4 |
| 7 | Determination of carcinogen-DNA adducts by immunoassay. | 1989 | 2 |
About Tockman Ms
Tockman Ms is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging and Infectious Diseases, having authored 7 papers that have together received 476 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (2 papers), COVID-19 diagnosis using AI (1 paper), Global Cancer Incidence and Screening (1 paper), Radiomics and Machine Learning in Medical Imaging (1 paper), Glycosylation and Glycoproteins Research (1 paper), Lung Cancer Research Studies (1 paper), Chronic Obstructive Pulmonary Disease (COPD) Research (1 paper) and RNA modifications and cancer (1 paper). The work is most often cited by research in Pulmonary and Respiratory Medicine (376 citations), Radiology, Nuclear Medicine and Imaging (153 citations), Otorhinolaryngology (21 citations), Oncology (105 citations) and Microbiology (2 citations). Tockman Ms has collaborated with scholars based in United States. Frequent co-authors include Gupta Pk, Frost Jk, Baker Rr, Eggleston Jc, Levin Ml, Erozan Ys, Solbert Permutt, Shu‐Hao Hsu, Ingalill Avis and James L. Mulshine. Their work appears in journals such as PubMed.
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.