Michael E. Abrams

474 citations
7 papers · 247 · h-index 5

Impact in

Papers in

    • Sphingolipid Metabolism and Signaling 2
    • Lipid Membrane Structure and Behavior 1
    • Cholesterol and Lipid Metabolism 2

Michael E. Abrams

6 papers receiving 225 citations

Peers

Michael E. Abrams
Comparison fields: 5 of 66
  • Parasitology 20
  • Immunology 58
  • Endocrine and Autonomic Systems 17
  • Pulmonary and Respiratory Medicine 76
  • Surgery 69
Replace Denise V. R. Bullen with:
Denise V. R. Bullen Australia
Rhiannon B. Werder Australia
Akitaka Iwagaki Japan
Mehdi Baratchian United Kingdom
Arpan Sharma Neupane United States
Mohammad Ali‐Hassanzadeh Iran
Hirokazu Nakajima Japan
Kathrin Krause United States
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Colleen Dunn United States
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Citations per field
00.5×6.3×
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Citations per year

Countries citing papers authored by Michael E. Abrams

Since Specialization
Citations

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

Fields of papers citing papers by Michael E. Abrams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Michael E. Abrams, 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 E. Abrams Line = papers co-authored together Michael E. Abrams links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 202096
2 196687
3 201623
4 202320
5 202115
6
How African-American Students View Racial Diversity at a Historically Black University
20063
7 19793

About Michael E. Abrams

Michael E. Abrams is a scholar working on Molecular Biology, Surgery, Immunology, Infectious Diseases and Pulmonary and Respiratory Medicine, having authored 7 papers that have together received 247 indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (2 papers), Sphingolipid Metabolism and Signaling (2 papers), interferon and immune responses (1 paper), Atherosclerosis and Cardiovascular Diseases (1 paper), Cytomegalovirus and herpesvirus research (1 paper), Consumer Perception and Purchasing Behavior (1 paper), Lipid Membrane Structure and Behavior (1 paper) and Toxoplasma gondii Research Studies (1 paper). The work is most often cited by research in Parasitology (20 citations), Immunology (58 citations), Endocrine and Autonomic Systems (17 citations), Pulmonary and Respiratory Medicine (76 citations) and Surgery (69 citations). Michael E. Abrams has collaborated with scholars based in United States. Frequent co-authors include Fletcher B. Taylor, Neal M. Alto, John W. Schoggins, Sofya S. Perelman, Arun Radhakrishnan, Jeffrey G. McDonald, Kristen Johnson, Bonne M. Thompson, Katrina B. Mar and Jennifer L. Eitson. Their work appears in journals such as eLife, PLoS Pathogens, The American Journal of Medicine, Nature Microbiology and Newspaper Research Journal.

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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