Eric J. Suba

667 citations
22 papers · 387 · h-index 11

Impact in

Papers in

    • Cervical Cancer and HPV Research 13
    • Multiple and Secondary Primary Cancers 1
    • Global Cancer Incidence and Screening 8
    • Colorectal Cancer Screening and Detection 2

Eric J. Suba

22 papers receiving 359 citations

Peers

Eric J. Suba
Comparison fields: 5 of 66
  • Epidemiology 172
  • Genetics 126
  • Oncology 109
  • Toxicology 12
  • Nephrology 11
Replace Anick Auger with:
Anick Auger Canada
Bernd Kost Germany
Xin-Tian Zhang United States
Danijela Konforte Canada
S.H. Chan Singapore
Judith John United States
María González‐Pons Puerto Rico
Kelly Coffey United Kingdom
G Riotton United States
Ursula Hahn Germany
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Citations per field
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Citations per year

Countries citing papers authored by Eric J. Suba

Since Specialization
Citations

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

Fields of papers citing papers by Eric J. Suba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Eric J. Suba, 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 Eric J. Suba Line = papers co-authored together Eric J. Suba links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1987155
2 200643
3 200138
4 201123
5 200419
6 200714
7 200412
8
The tiny parathyroid adenoma.
198612
9 200412
10 200710
11 200410
12 20237
13 20016
14 20055
15 19875
16 20145
17
Unethical US Government-Funded Cervical Screening Study in India: US Freedom of Information Act Disclosures.
20183
18 20013
19 20022
20
Suba responds [6]
20071

About Eric J. Suba

Eric J. Suba is a scholar working on Epidemiology, Oncology, Public Health, Environmental and Occupational Health, Genetics and Radiology, Nuclear Medicine and Imaging, having authored 22 papers that have together received 387 indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (13 papers), Global Cancer Incidence and Screening (8 papers), Ethics in Clinical Research (5 papers), Estrogen and related hormone effects (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Colorectal Cancer Screening and Detection (2 papers), Economic and Financial Impacts of Cancer (2 papers) and Multiple and Secondary Primary Cancers (1 paper). The work is most often cited by research in Epidemiology (172 citations), Genetics (126 citations), Oncology (109 citations), Toxicology (12 citations) and Nephrology (11 citations). Eric J. Suba has collaborated with scholars based in United States, Vietnam and South Africa. Frequent co-authors include Stephen S. Raab, Patricia A. Estes, Janet Lawler-Heavner, Dean P. Edwards, Lisa L. Wei, W. Patrick Sullivan, David O. Toft, Kathryn B. Horwitz, Amber Donnelly and Nguyen Ba Duc. Their work appears in journals such as Diagnostic Cytopathology, Cancer, American Journal of Clinical Pathology, American Journal of Public Health and The Journal of Urology.

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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