Michelle I. Savage

2.1k citations
15 papers · 1.4k indexed · 1 hit paper · h-index 8
Topics
Cancer-related Molecular Pathways (5 papers)PI3K/AKT/mTOR signaling in cancer (3 papers)Adenosine and Purinergic Signaling (3 papers)

In The Last Decade

Michelle I. Savage

15 papers receiving 1.4k citations

Hit Papers

Comprehensive Genomic Analysis Identifies Novel Subtypes ...20142026201820222014250500750

Peers

Michelle I. Savage
Comparison fields: 5 of 93
  • Oncology 748
  • Molecular Biology 645
  • Cancer Research 592
  • Pulmonary and Respiratory Medicine 309
  • Immunology 177
Replace Angel Rodriguez with:
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Ángel Guerrero‐Zotano Spain
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Michelle I. Savage relative to Angel Rodriguez United States Angel Rodriguez's profile →
Citations per field
00.5×1.5×2.4×
Angel Rodriguez · 1×
Citations per year

Countries citing papers authored by Michelle I. Savage

Since Specialization
Citations

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

Fields of papers citing papers by Michelle I. Savage

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michelle I. Savage. 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 Michelle I. Savage. The network helps show where Michelle I. Savage may publish in the future.

Co-authorship network of co-authors of Michelle I. Savage

This figure shows the co-authorship network connecting the top 25 collaborators of Michelle I. Savage. A scholar is included among the top collaborators of Michelle I. Savage 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 Michelle I. Savage. Michelle I. Savage 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 5
2 2
3 1
4 4
5 5
6 1
7 12
8 66
9 121
10 61
11
Organ Transplantation: A Legal and Moral Analysis
1
12 51
13
Comprehensive Genomic Analysis Identifies Novel Subtypes and Targets of Triple-Negative Breast Cancerbreakdown →
936
14 117
15 9

About Michelle I. Savage

Michelle I. Savage is a scholar working on Physiology, Oncology and Cancer Research, having authored 15 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (5 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Adenosine and Purinergic Signaling (3 papers). The work is most often cited by research in Cancer Research (592 citations), Oncology (748 citations) and Pulmonary and Respiratory Medicine (309 citations). Michelle I. Savage has collaborated with scholars based in United States, Malaysia and Switzerland. Frequent co-authors include Powel H. Brown, Anna Tsimelzon, Susan G. Hilsenbeck, Graham M. Poage, Gordon B. Mills, Jenny C. Chang, Alejandro Contreras, Suzanne A.W. Fuqua, Matthew D. Burstein and Kyle R. Covington. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Cancer Research.

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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