Mark Hachey

4.3k citations
13 papers · 3.6k · 2 hit papers · h-index 10

Impact in

  • Oncology top 2%
    • Cancer survivorship and care
    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation

Papers in

Mark Hachey

13 papers receiving 3.5k citations

Mark Hachey's Hit Papers

Cancer Survivors in the United States: Prevalence across the Survivorship Trajectory and Implications for Care 2013 · 563 citations
5630+4+9Years since publication50010001.5k2.0k2.5k

Peers

Mark Hachey
Comparison fields: 5 of 154
  • Oncology 1.2k
  • Cancer Research 374
  • Pediatrics, Perinatology and Child Health 347
  • Pulmonary and Respiratory Medicine 537
  • Geriatrics and Gerontology 49
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Mark Hachey relative to Steve Scoppa United States Steve Scoppa's profile →
Citations per field
00.5×1.5×
Steve Scoppa · 1×
Citations per year

Countries citing papers authored by Mark Hachey

Since Specialization
Citations

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

Fields of papers citing papers by Mark Hachey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark Hachey. 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 Mark Hachey. The network helps show where Mark Hachey may publish in the future.

Co-authors

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

All Works

13 of 13 papers shown
#Work
1
Cancer treatment and survivorship statistics, 2012
Hit paper breakdown →
20122558
2
Cancer Survivors in the United States: Prevalence across the Survivorship Trajectory and Implications for Care
Hit paper breakdown →
2013563
3 2009265
4 200956
5 199752
6 200947
7 201233
8 200127
9 200718
10 200614
11 20203
12 20211
13 20091

About Mark Hachey

Mark Hachey is a scholar working on Statistics and Probability, Oncology, Pediatrics, Perinatology and Child Health, Epidemiology and Economics and Econometrics, having authored 13 papers that have together received 3.6k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (2 papers), Data-Driven Disease Surveillance (2 papers), Statistical Methods and Inference (2 papers), Childhood Cancer Survivors' Quality of Life (2 papers), Cancer survivorship and care (2 papers), Multiple and Secondary Primary Cancers (1 paper), Economic and Environmental Valuation (1 paper) and Ecology and Vegetation Dynamics Studies (1 paper). The work is most often cited by research in Oncology (1.2k citations), Cancer Research (374 citations), Pediatrics, Perinatology and Child Health (347 citations), Pulmonary and Respiratory Medicine (537 citations) and Geriatrics and Gerontology (49 citations). Mark Hachey has collaborated with scholars based in United States, Italy and Malaysia. Frequent co-authors include Angela B. Mariotto, Steve Scoppa, Stacey A. Fedewa, Rebecca Kirch, Tenbroeck G Smith, Kevin Stein, Elizabeth Ward, Rebecca L. Siegel, Ted S. Gansler and Hyunsoon Cho. Their work appears in journals such as Cancer, Cancer Epidemiology Biomarkers & Prevention, Environmental and Ecological Statistics, International Journal of Health Geographics and CA A Cancer Journal for Clinicians.

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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