Hannah Maynard

913 citations
16 papers · 719 · h-index 8

Impact in

    • Cancer Genomics and Diagnostics
  • Oncology top 5%
    • Pancreatic and Hepatic Oncology Research
    • PARP inhibition in cancer therapy

Papers in

    • Pancreatic and Hepatic Oncology Research 5
    • Cancer Immunotherapy and Biomarkers 1
    • Cancer Genomics and Diagnostics 3

Hannah Maynard

13 papers receiving 716 citations

Peers

Hannah Maynard
Comparison fields: 5 of 38
  • Cancer Research 305
  • Oncology 550
  • Pathology and Forensic Medicine 65
  • Genetics 77
  • Pulmonary and Respiratory Medicine 76
Replace Madeline Ford with:
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Hannah Maynard relative to Madeline Ford United States Madeline Ford's profile →
Citations per field
00.5×1.5×1.9×
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Citations per year

Countries citing papers authored by Hannah Maynard

Since Specialization
Citations

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

Fields of papers citing papers by Hannah Maynard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2018186
2 2017162
3 2017136
4 201892
5 201772
6 202038
7 202411
8 202410
9 20254
10 20254
11 20252
12 19841
13 20241
14 20240
15 20250
16 20260

About Hannah Maynard

Hannah Maynard is a scholar working on Oncology, Cancer Research, Cardiology and Cardiovascular Medicine, Complementary and alternative medicine and Pulmonary and Respiratory Medicine, having authored 16 papers that have together received 719 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (5 papers), Cancer Genomics and Diagnostics (3 papers), Cardiovascular Health and Disease Prevention (2 papers), Diet and metabolism studies (1 paper), Lung Cancer Treatments and Mutations (1 paper), Cancer Immunotherapy and Biomarkers (1 paper), Cardiovascular and exercise physiology (1 paper) and Cholangiocarcinoma and Gallbladder Cancer Studies (1 paper). The work is most often cited by research in Cancer Research (305 citations), Oncology (550 citations), Pathology and Forensic Medicine (65 citations), Genetics (77 citations) and Pulmonary and Respiratory Medicine (76 citations). Hannah Maynard has collaborated with scholars based in United States, Canada and Israel. Frequent co-authors include Eileen Mary O'Reilly, Talia Golan, Hedy Lee Kindler, David Paul Kelsen, Zsofia Kinga Stadler, Maeve Aine Lowery, Richard Kinh Gian, Amiel Segal, Ellen M. Hollywood and Malcolm J. Moore. Their work appears in journals such as Hypertension, Cancer, Urology, JACC Heart Failure and Current Oncology Reports.

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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