Michael J. Magnetta

521 citations
23 papers · 337 indexed · h-index 11
Topics
Surgical Simulation and Training (4 papers)Anatomy and Medical Technology (4 papers)Hepatocellular Carcinoma Treatment and Prognosis (3 papers)
Journals
SHILAP Revista de lepidopterologíaSpineLab on a Chip
Partner nations
United StatesItalyCanada

In The Last Decade

Michael J. Magnetta

20 papers receiving 334 citations

Peers

Michael J. Magnetta
Comparison fields: 5 of 80
  • Surgery 153
  • Biomedical Engineering 116
  • Pulmonary and Respiratory Medicine 92
  • Hepatology 64
  • Radiology, Nuclear Medicine and Imaging 63
Replace Anish Ghodadra with:
Anish Ghodadra United States
Anastasios Katsourakis Greece
Chengqi Zhang China
Corinne E. Wessner United States
Shinji Yoshioka Japan
Nicolae Bolog Switzerland
Elisabetta Nocerino Italy
Emily Ward United States
Dan Han China
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Michael J. Magnetta relative to Anish Ghodadra United States Anish Ghodadra's profile →
Citations per field
00.5×1.5×1.8×
Anish Ghodadra · 1×
Citations per year

Countries citing papers authored by Michael J. Magnetta

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Magnetta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael J. Magnetta

This figure shows the co-authorship network connecting the top 25 collaborators of Michael J. Magnetta. A scholar is included among the top collaborators of Michael J. Magnetta based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael J. Magnetta. Michael J. Magnetta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 3
4 0
5 10
6 1
7 14
8 6
9 3
10 36
11 53
12 2
13 15
14 6
15 39
16 3
17 28
18 60
19 10
20 12

About Michael J. Magnetta

Michael J. Magnetta is a scholar working on Hepatology, Surgery and Pathology and Forensic Medicine, having authored 23 papers that have together received 337 indexed citations. Recurring topics across this work include Surgical Simulation and Training (4 papers), Anatomy and Medical Technology (4 papers) and Hepatocellular Carcinoma Treatment and Prognosis (3 papers). The work is most often cited by research in Hepatology (64 citations), Health Informatics (5 citations) and Surgery (153 citations). Michael J. Magnetta has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Joseph A. Potkay, Brian Cmolik, Hyun S. Kim, Di Zhang, Minzhi Xing, Paul A. Gardner, Kumar Abhinav, James J. Lee, Barton F. Branstetter and Sandip S. Panesar. Their work appears in journals such as SHILAP Revista de lepidopterología, Spine and Lab on a Chip.

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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