Eric J. Suba

668 citations
37 papers · 536 · h-index 12

Impact in

  • Epidemiology top 10%
    • Cervical Cancer and HPV Research
    • Hepatitis B Virus Studies
    • Global Cancer Incidence and Screening
    • Colorectal Cancer Screening and Detection

Papers in

    • Cervical Cancer and HPV Research 28
    • Global Cancer Incidence and Screening 16
    • Colorectal Cancer Screening and Detection 3

Eric J. Suba

37 papers receiving 489 citations

Peers

Eric J. Suba
Comparison fields: 5 of 76
  • Epidemiology 295
  • Oncology 166
  • Drug Discovery 1
  • Genetics 128
  • Toxicology 12
Replace Ahmadou Dem with:
Ahmadou Dem Senegal
Kandace L. Amend United States
Louise A. Brinton United States
Emma de Jong Australia
Vilas D. Nasare India
Enrica Alteri Switzerland
Othman Alharbi Saudi Arabia
Eftichia Petrakou Greece
Su Yon Jung United States
Abha Sharma India
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Citations per field
00.5×1.5×2×2.4×
Ahmadou Dem · 1×
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 21 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 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1987156
2 200651
3 200144
4 200940
5 201126
6 200126
7 200419
8 200416
9 200715
10 200414
11 200714
12
The tiny parathyroid adenoma.
198612
13 200610
14 20149
15 20049
16 20148
17 20238
18 20017
19 20106
20 20056

About Eric J. Suba

Eric J. Suba is a scholar working on Epidemiology, Oncology, Public Health, Environmental and Occupational Health, Genetics and Cancer Research, having authored 37 papers that have together received 536 indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (28 papers), Global Cancer Incidence and Screening (16 papers), Ethics in Clinical Research (5 papers), Colorectal Cancer Screening and Detection (3 papers), Estrogen and related hormone effects (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Molecular Biology Techniques and Applications (2 papers) and Economic and Financial Impacts of Cancer (2 papers). The work is most often cited by research in Epidemiology (295 citations), Oncology (166 citations), Drug Discovery (1 citation), Genetics (128 citations) and Toxicology (12 citations). Eric J. Suba has collaborated with scholars based in United States, Canada and South Africa. Frequent co-authors include Stephen Spencer Raab, Dean P. Edwards, Janet Lawler-Heavner, Patricia A. Estes, Lisa L. Wei, David O. Toft, William Patrick Sullivan, Kathryn B. Horwitz, Amber D. Donnelly and Nguyen Ba Duc. Their work appears in journals such as Cancer, Diagnostic Cytopathology, The Lancet, Obstetrics and Gynecology and American Journal of Public Health.

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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