M. H. Gail

981 citations
7 papers · 664 indexed · 1 hit paper · h-index 7
Topics
Advanced Causal Inference Techniques (2 papers)Statistical Methods and Inference (2 papers)Statistical Methods in Clinical Trials (2 papers)
Partner nations
United States

In The Last Decade

M. H. Gail

7 papers receiving 632 citations

Hit Papers

Population Attributable Risks of Esophageal and Gastric C...20032026201020182003100200300400500

Peers

M. H. Gail
Comparison fields: 5 of 100
  • Surgery 395
  • Pulmonary and Respiratory Medicine 217
  • Oncology 120
  • Molecular Biology 97
  • Gastroenterology 85
Replace P Guo with:
P Guo China
Jane Metcalf United Kingdom
Georgia Vourli Greece
Sang Young Han South Korea
Aaron B. Cohen United States
F. Politi Italy
Michael D. deB. Edwardes Canada
Amar A. Desai United States
Yoon Ok Ahn South Korea
Jinhui Tian China
M. H. Gail relative to P Guo China P Guo's profile →
Citations per field
00.5×1.5×1.9×
P Guo · 1×
Citations per year

Countries citing papers authored by M. H. Gail

Since Specialization
Citations

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

Fields of papers citing papers by M. H. Gail

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. H. Gail

This figure shows the co-authorship network connecting the top 25 collaborators of M. H. Gail. A scholar is included among the top collaborators of M. H. Gail 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 M. H. Gail. M. H. Gail is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
#WorkIndexed citations
1
Population Attributable Risks of Esophageal and Gastric Cancersbreakdown →
525
2 36
3
Probability of helicobacter pylori infection based on IgG levels and other covariates using a mixture model.
12
4 8
5 59
6 7
7 17

About M. H. Gail

M. H. Gail is a scholar working on Statistics and Probability, Virology and Small Animals, having authored 7 papers that have together received 664 indexed citations. Recurring topics across this work include Advanced Causal Inference Techniques (2 papers), Statistical Methods and Inference (2 papers) and Statistical Methods in Clinical Trials (2 papers). The work is most often cited by research in Gastroenterology (85 citations), Surgery (395 citations) and Pulmonary and Respiratory Medicine (217 citations). M. H. Gail has collaborated with scholars based in United States. Frequent co-authors include Joseph F. Fraumeni, A. Brian West, Martin J. Blaser, Marilie D. Gammon, Robert Dubrow, Thomas L. Vaughan, Heidrun Rotterdam, Janet B. Schoenberg, William J. Blot and J. L. Stanford. Their work appears in journals such as JNCI Journal of the National Cancer Institute, Biometrika and International Journal of Gynecology & Obstetrics.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026