Michael Alvarado

7.1k citations
85 papers · 2.3k indexed · h-index 27

Michael Alvarado

80 papers receiving 2.3k citations

Peers

Michael Alvarado
Comparison fields: 5 of 83
  • Cancer Research 1.2k
  • Surgery 1.2k
  • Oncology 853
  • Pathology and Forensic Medicine 499
  • Immunology 290
Replace Roland Reitsamer with:
Roland Reitsamer Austria
Bettina Ballardini Italy
Krishna B. Clough France
Pond R. Kelemen United States
A. Marilyn Leitch United States
Marian Gutowski France
Roger E. Moe United States
Lisa M. Sclafani United States
Myla Strawderman United States
Sarah M. DeSnyder United States
Michael Alvarado relative to Roland Reitsamer Austria Roland Reitsamer's profile →
Citations per field
00.5×3.9×
Roland Reitsamer · 1×
Citations per year

Countries citing papers authored by Michael Alvarado

Since Specialization
Citations

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

Fields of papers citing papers by Michael Alvarado

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Alvarado

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Alvarado. A scholar is included among the top collaborators of Michael Alvarado 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 Alvarado. Michael Alvarado 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 2
2 1
3 4
4 7
5 9
6 21
7 50
8 27
9 36
10 31
11 30
12
TARGIT-U.S.: A registry trial of targeted intraoperative radiation therapy following breast-conserving surgery.
1
13 62
14 68
15 10
16 40
17 38
18 37
19 198
20 17

About Michael Alvarado

Michael Alvarado is a scholar working on Cancer Research, Pathology and Forensic Medicine and Oncology, having authored 85 papers that have together received 2.3k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (54 papers), Breast Implant and Reconstruction (41 papers) and Breast Lesions and Carcinomas (26 papers). The work is most often cited by research in Cancer Research (1.2k citations), Oncology (853 citations) and Pathology and Forensic Medicine (499 citations). Michael Alvarado has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Laura J. Esserman, Cheryl A. Ewing, Robert D. Foster, Anne Warren Peled, E. Shelley Hwang, Frederick Wang, Hani Sbitany, Elisabeth R. Garwood, Dan H. Moore and Barbara Fowble. Their work appears in journals such as Journal of Clinical Investigation, Journal of Clinical Oncology and JNCI Journal of the National Cancer Institute.

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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