M. Hobbs

2.2k citations
72 papers · 1.5k · h-index 21

Impact in

Papers in

M. Hobbs

71 papers receiving 1.4k citations

Peers

M. Hobbs
Comparison fields: 5 of 110
  • Pulmonary and Respiratory Medicine 536
  • Cardiology and Cardiovascular Medicine 306
  • Health, Toxicology and Mutagenesis 92
  • Radiology, Nuclear Medicine and Imaging 137
  • Health 48
Replace Gregorio T. Obrador with:
Gregorio T. Obrador Mexico
Jason H. Wasfy United States
Ramsey Tate United States
Colleen Ross United States
Frank J. Hooper United States
Philip McLoone United Kingdom
Damian Fogarty United Kingdom
Daniela Balzi Italy
Sheila M. Manemann United States
Stacey E. Jolly United States
M. Hobbs relative to Gregorio T. Obrador Mexico Gregorio T. Obrador's profile →
Citations per field
00.5×5.3×
Gregorio T. Obrador · 1×
Citations per year

Countries citing papers authored by M. Hobbs

Since Specialization
Citations

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

Fields of papers citing papers by M. Hobbs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1988135
2 2004112
3 1983109
4 2006107
5 200975
6 197968
7 199360
8 199756
9 198955
10 199142
11 200741
12 200835
13 198633
14 197033
15 199132
16 199630
17 198525
18 198323
19 199422
20 199622

About M. Hobbs

M. Hobbs is a scholar working on Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine, General Health Professions, Radiology, Nuclear Medicine and Imaging and Health, having authored 72 papers that have together received 1.5k indexed citations. Recurring topics across this work include Occupational and environmental lung diseases (15 papers), Acute Myocardial Infarction Research (8 papers), Radiation Dose and Imaging (6 papers), Health disparities and outcomes (5 papers), Geriatric Care and Nursing Homes (5 papers), Dementia and Cognitive Impairment Research (5 papers), Medical Coding and Health Information (4 papers) and Cardiac Imaging and Diagnostics (4 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (536 citations), Cardiology and Cardiovascular Medicine (306 citations), Health, Toxicology and Mutagenesis (92 citations), Radiology, Nuclear Medicine and Imaging (137 citations) and Health (48 citations). M. Hobbs has collaborated with scholars based in Australia, United Kingdom and New Zealand. Frequent co-authors include Bruce K. Armstrong, Nicholas de Klerk, Arthur W. Musk, Matthew Knuiman, Steve C. Ridout, Craig A. Martin, Peter L. Thompson, Louise M. Stewart, A W Musk and Frank Sanfilippo. Their work appears in journals such as Occupational and Environmental Medicine, The Medical Journal of Australia, American Journal of Epidemiology, Journal of Epidemiology & Community Health and The Lancet.

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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