Simon McNamara

485 citations
20 papers · 173 · h-index 8

Impact in

    • Health disparities and outcomes
    • Multiple Myeloma Research and Treatments

Papers in

    • Multiple Myeloma Research and Treatments 8
    • Health Systems, Economic Evaluations, Quality of Life 7
    • Economic and Financial Impacts of Cancer 2

Simon McNamara

17 papers receiving 172 citations

Peers

Simon McNamara
Comparison fields: 5 of 47
  • Health 17
  • Hematology 20
  • Economics and Econometrics 45
  • General Decision Sciences 2
  • General Health Professions 21
Replace Han‐I Wang with:
Han‐I Wang United Kingdom
Charmaine Blanchard South Africa
Anton Hoos United States
Stacey A. Ingram United States
Sunitha Mathew United States
Nathalie Bere Netherlands
Ayelén Rojas‐Benedicto Spain
Crystal Reinhart United States
Hana Taha Jordan
Shitong Xie China
Simon McNamara relative to Han‐I Wang United Kingdom Han‐I Wang's profile →
Citations per field
00.5×3.5×
Han‐I Wang · 1×
Citations per year

Countries citing papers authored by Simon McNamara

Since Specialization
Citations

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

Fields of papers citing papers by Simon McNamara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 202239
2 201933
3 202021
4 201817
5 202015
6 202313
7 202212
8 202410
9 20243
10 20252
11 20242
12 20251
13 20241
14 20251
15 20141
16 20101
17 20241
18 20230
19 20250
20 20250

About Simon McNamara

Simon McNamara is a scholar working on Hematology, Economics and Econometrics, Molecular Biology, Oncology and Organizational Behavior and Human Resource Management, having authored 20 papers that have together received 173 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (8 papers), Health Systems, Economic Evaluations, Quality of Life (7 papers), Protein Degradation and Inhibitors (3 papers), Global Public Health Policies and Epidemiology (2 papers), Cancer Treatment and Pharmacology (2 papers), Economic and Financial Impacts of Cancer (2 papers), Health disparities and outcomes (1 paper) and Global Health Care Issues (1 paper). The work is most often cited by research in Health (17 citations), Hematology (20 citations), Economics and Econometrics (45 citations), General Decision Sciences (2 citations) and General Health Professions (21 citations). Simon McNamara has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include John Holmes, Abigail K. Stevely, Tim Doran, Nils Gutacker, P. Schneider, James Love-Koh, Aki Tsuchiya, Petra Meier, Helen M. Johnson and Antonio Palumbo. Their work appears in journals such as Value in Health, Future Oncology, Journal of Clinical Oncology, PharmacoEconomics and Social Science & Medicine.

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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