D. M. Jackman

1.1k citations
19 papers · 196 · h-index 8

Impact in

    • Lung Cancer Treatments and Mutations
    • Lung Cancer Diagnosis and Treatment
    • Gastric Cancer Management and Outcomes
    • Lung Cancer Research Studies
    • Colorectal Cancer Treatments and Studies
    • HER2/EGFR in Cancer Research

Papers in

    • Lung Cancer Treatments and Mutations 15
    • Lung Cancer Diagnosis and Treatment 10
    • Gastric Cancer Management and Outcomes 2
    • Lung Cancer Research Studies 8
    • Colorectal Cancer Treatments and Studies 2
    • Peptidase Inhibition and Analysis 2

D. M. Jackman

18 papers receiving 190 citations

Peers

D. M. Jackman
Comparison fields: 5 of 33
  • Pulmonary and Respiratory Medicine 167
  • Oncology 132
  • Cancer Research 31
  • Radiology, Nuclear Medicine and Imaging 37
  • Applied Microbiology and Biotechnology 1
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Laura Ginocchi Italy
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Citations per year

Countries citing papers authored by D. M. Jackman

Since Specialization
Citations

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

Fields of papers citing papers by D. M. Jackman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. M. Jackman. 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 D. M. Jackman. The network helps show where D. M. Jackman may publish in the future.

Co-authors

The 25 scholars most cited alongside D. M. Jackman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with D. M. Jackman Line = papers co-authored together D. M. Jackman links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 201186
2 201422
3 200515
4 201415
5 200912
6 200811
7 20078
8 20117
9 20114
10 20064
11 20052
12
In vitro attenuation of herpesvirus saimiri by serial passage in dog fetal lung continuous cultures.
19752
13 20102
14 20102
15 20251
16 20081
17 20131
18 20111
19 20150

About D. M. Jackman

D. M. Jackman is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Radiology, Nuclear Medicine and Imaging, Infectious Diseases and Epidemiology, having authored 19 papers that have together received 196 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (15 papers), Lung Cancer Diagnosis and Treatment (10 papers), Lung Cancer Research Studies (8 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Colorectal Cancer Treatments and Studies (2 papers), Gastric Cancer Management and Outcomes (2 papers), Peptidase Inhibition and Analysis (2 papers) and Herpesvirus Infections and Treatments (2 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (167 citations), Oncology (132 citations), Cancer Research (31 citations), Radiology, Nuclear Medicine and Imaging (37 citations) and Applied Microbiology and Biotechnology (1 citation). D. M. Jackman has collaborated with scholars based in United States, Taiwan and Canada. Frequent co-authors include Pasi A. Jänne, Lecia V. Sequist, Bruce E. Johnson, Miquel Tarón, James Chih‐Hsin Yang, Belinda A. Waltman, H Ji, William Pao, Camelia S. Sima and Nicolas Girard. Their work appears in journals such as Journal of Clinical Oncology, International Journal of Radiation Oncology*Biology*Physics, Lung Cancer, Clinical Radiology and European Respiratory Journal.

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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