Michael M. Allevato

781 citations
15 papers · 336 indexed · h-index 7
Topics
Cancer Immunotherapy and Biomarkers (5 papers)Peptidase Inhibition and Analysis (4 papers)Lung Cancer Research Studies (3 papers)
Journals
Nature CommunicationsGenes & DevelopmentSHILAP Revista de lepidopterología

In The Last Decade

Michael M. Allevato

13 papers receiving 334 citations

Peers

Michael M. Allevato
Comparison fields: 5 of 59
  • Molecular Biology 178
  • Oncology 145
  • Immunology 79
  • Cancer Research 61
  • Pulmonary and Respiratory Medicine 56
Replace Cera Nieto with:
Cera Nieto United States
Rocío Granda‐Díaz Spain
Jung Hwa Moon South Korea
Simona Nuzzo Italy
Tiffiny S. Cooper United States
Frank Tsai United States
Tomitaro Onoue Japan
Marion Gilormini France
Irina Abécassis United States
Hongjuan Xu China
Michael M. Allevato relative to Cera Nieto United States Cera Nieto's profile →
Citations per field
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Citations per year

Countries citing papers authored by Michael M. Allevato

Since Specialization
Citations

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

Fields of papers citing papers by Michael M. Allevato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael M. Allevato

This figure shows the co-authorship network connecting the top 25 collaborators of Michael M. Allevato. A scholar is included among the top collaborators of Michael M. Allevato 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 M. Allevato. Michael M. Allevato is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 0
2 2
3 8
4 3
5 5
6 0
7 1
8 10
9 4
10 39
11 51
12 2
13 54
14 119
15 38

About Michael M. Allevato

Michael M. Allevato is a scholar working on Oncology, Cancer Research and Immunology, having authored 15 papers that have together received 336 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (5 papers), Peptidase Inhibition and Analysis (4 papers) and Lung Cancer Research Studies (3 papers). The work is most often cited by research in Oncology (145 citations), Otorhinolaryngology (19 citations) and Cancer Research (61 citations). Michael M. Allevato has collaborated with scholars based in United States, Thailand and China. Frequent co-authors include J. Silvio Gutkind, Alfredo Molinolo, Zhiyong Wang, Ezra E.W. Cohen, Mara Gilardi, Victoria H. Wu, Yusuke Goto, Bryan S. Yung, Lynn Vitale‐Cross and Andrew B. Sharabi. Their work appears in journals such as Nature Communications, Genes & Development and SHILAP Revista de lepidopterología.

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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