Sam J. Egger

4.3k citations
110 papers · 3.0k · h-index 32

Impact in

  • Oncology top 5%
    • Cancer survivorship and care
    • Global Cancer Incidence and Screening
    • Cancer Risks and Factors
  • Physiology top 5%
    • Smoking Behavior and Cessation

Papers in

    • Smoking Behavior and Cessation 25
    • Cancer Risks and Factors 7
    • Global Cancer Incidence and Screening 5
    • COVID-19 and healthcare impacts 4

Sam J. Egger

105 papers receiving 3.0k citations

Peers

Sam J. Egger
Comparison fields: 5 of 151
  • Oncology 603
  • Physiology 445
  • Pulmonary and Respiratory Medicine 494
  • Otorhinolaryngology 43
  • Public Health, Environmental and Occupational Health 216
Replace Sadia Bibi with:
Sadia Bibi Pakistan
Leila Nikniaz Iran
Emad I. Ababneh United States
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Juan Espinosa‐Montero Mexico
Reza Malekzadeh Iran
Shahryar Semnani Iran
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Citations per year

Countries citing papers authored by Sam J. Egger

Since Specialization
Citations

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

Fields of papers citing papers by Sam J. Egger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sam J. Egger. 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 Sam J. Egger. The network helps show where Sam J. Egger may publish in the future.

Co-authors

The 25 scholars most cited alongside Sam J. Egger, 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 Sam J. Egger Line = papers co-authored together Sam J. Egger links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 110 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009246
2 2015209
3 2019209
4 2013140
5 2012100
6 201396
7 202089
8 201273
9 201366
10 201965
11 202062
12 201061
13 201761
14 201759
15 201457
16 202254
17 201352
18 201752
19 202150
20 201047

About Sam J. Egger

Sam J. Egger is a scholar working on Physiology, Oncology, Pulmonary and Respiratory Medicine, Epidemiology and Pathology and Forensic Medicine, having authored 110 papers that have together received 3.0k indexed citations. Recurring topics across this work include Smoking Behavior and Cessation (25 papers), Prostate Cancer Diagnosis and Treatment (13 papers), Cervical Cancer and HPV Research (9 papers), Cancer Risks and Factors (7 papers), Global Cancer Incidence and Screening (5 papers), Breast Cancer Treatment Studies (4 papers), COVID-19 and healthcare impacts (4 papers) and Estrogen and related hormone effects (3 papers). The work is most often cited by research in Oncology (603 citations), Physiology (445 citations), Pulmonary and Respiratory Medicine (494 citations), Otorhinolaryngology (43 citations) and Public Health, Environmental and Occupational Health (216 citations). Sam J. Egger has collaborated with scholars based in Australia, United Kingdom and France. Frequent co-authors include Dianne L. O’Connell, Emily Banks, Freddy Sitas, David P. Smith, Karen Canfell, Marianne Frances Weber, Grace Joshy, Phillip D. Stricker, Bruce Konrad Armstrong and Alan D López. Their work appears in journals such as Tobacco Control, PLoS ONE, Cochrane Database of Systematic Reviews, International Journal of Cancer and Cancer Epidemiology.

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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