Michael Ray

1.9k citations
76 papers · 1.2k indexed · h-index 20

Michael Ray

73 papers receiving 1.2k citations

Peers

Michael Ray
Comparison fields: 5 of 120
  • Applied Microbiology and Biotechnology 90
  • Internal Medicine 163
  • Biochemistry 160
  • Critical Care and Intensive Care Medicine 128
  • Cardiology and Cardiovascular Medicine 265
Replace Yeo‐Min Yun with:
Yeo‐Min Yun South Korea
Brigitte Stoiser Austria
Gensheng Zhang China
Kui Liu China
Savino Spadaro Italy
Wei Xiong China
David Cohen United States
Miklós Lipcsey Sweden
John J. Lewin United States
Wolfgang Huber Germany
Michael Ray relative to Yeo‐Min Yun South Korea Yeo‐Min Yun's profile →
Citations per field
00.5×8.4×
Yeo‐Min Yun · 1×
Citations per year

Countries citing papers authored by Michael Ray

Since Specialization
Citations

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

Fields of papers citing papers by Michael Ray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20236
3 20224
4 202114
5 20199
6 201813
7 201645
8 20160
9
Utilizing Satscan and the Space-Time Permutation Scan Statistic to Detect Spatial and Temporal Clustering Based on Disease Registry Information
20151
10 201183
11 20095
12 20068
13 200621
14 200542
15 200119
16 200110
17 199831
18 199512
19 199487
20 198912

About Michael Ray

Michael Ray is a scholar working on Applied Microbiology and Biotechnology, Internal Medicine, Critical Care and Intensive Care Medicine, Biochemistry and Polymers and Plastics, having authored 76 papers that have together received 1.2k indexed citations. Recurring topics across this work include Transition Metal Oxide Nanomaterials (12 papers), Infrared Target Detection Methodologies (11 papers), Antibiotic Use and Resistance (9 papers), Blood transfusion and management (8 papers), Venous Thromboembolism Diagnosis and Management (7 papers), Cardiac and Coronary Surgery Techniques (7 papers), Antiplatelet Therapy and Cardiovascular Diseases (6 papers) and Gas Sensing Nanomaterials and Sensors (5 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (90 citations), Internal Medicine (163 citations), Biochemistry (160 citations), Critical Care and Intensive Care Medicine (128 citations) and Cardiology and Cardiovascular Medicine (265 citations). Michael Ray has collaborated with scholars based in United States, Australia and New Zealand. Frequent co-authors include G. A. T. Hawson, N. A. Marsh, Neville A. Marsh, Mark F. O’Brien, William E. Trick, Michael Y. Lin, Daniel F. Murphy, Robert A. Weinstein, Geoffrey J. McLachlan and Anton Hinton‐Bayre. Their work appears in journals such as Blood Coagulation & Fibrinolysis, The Annals of Thoracic Surgery, Clinical Infectious Diseases, The Medical Journal of Australia and Perfusion.

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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