L E Averill

629 citations
12 papers · 566 · h-index 11

Impact in

    • Tuberculosis Research and Epidemiology
  • Immunology top 10%
    • Immune Cell Function and Interaction
    • Immune Response and Inflammation
    • T-cell and B-cell Immunology

Papers in

L E Averill

12 papers receiving 535 citations

Peers

L E Averill
Comparison fields: 5 of 62
  • Infectious Diseases 242
  • Immunology 255
  • Virology 37
  • Epidemiology 226
  • Hepatology 43
Replace Sena J. Lee with:
Sena J. Lee United States
Yuriy V. Shebzukhov Russia
Sarah Godbehere United States
A Fukutomi Japan
M. Fóns United States
Melissa E. Laird France
M T Bandu France
Marie-Claude Trescol-Biémont France
A. Zhou United States
Stephen P. Hauptman United States
L E Averill relative to Sena J. Lee United States Sena J. Lee's profile →
Citations per field
00.5×3.9×
Sena J. Lee · 1×
Citations per year

Countries citing papers authored by L E Averill

Since Specialization
Citations

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

Fields of papers citing papers by L E Averill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside L E Averill, 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 L E Averill Line = papers co-authored together L E Averill links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 1994151
2 200768
3 198868
4 199567
5 199656
6 199753
7
Enhanced monocyte progenitor cell proliferation in bone marrow of hyperlipemic swine.
198953
8 198512
9
Depletion of reserve in the hemopoietic system: III. Factors affecting the serial transplantation of bone marrow.
198312
10 199511
11 199311
12 19854

About L E Averill

L E Averill is a scholar working on Infectious Diseases, Immunology, Epidemiology, Oncology and Hematology, having authored 12 papers that have together received 566 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (6 papers), Mycobacterium research and diagnosis (4 papers), Hematopoietic Stem Cell Transplantation (3 papers), Immune Cell Function and Interaction (3 papers), Cytokine Signaling Pathways and Interactions (2 papers), Glycosylation and Glycoproteins Research (1 paper), Galectins and Cancer Biology (1 paper) and Telomeres, Telomerase, and Senescence (1 paper). The work is most often cited by research in Infectious Diseases (242 citations), Immunology (255 citations), Virology (37 citations), Epidemiology (226 citations) and Hepatology (43 citations). L E Averill has collaborated with scholars based in United States. Frequent co-authors include Jerrold J. Ellner, Zahra Toossi, Christina S. Hirsch, Takahiro Yoneda, Richard L. Stein, Nitin J. Karandikar, Gary M. Kammer, William M. Lee, Richard Meagher and Ross G. Gerrity. Their work appears in journals such as Infection and Immunity, The Journal of Immunology, Research in Microbiology, Journal of Clinical Investigation and The Journal of Infectious Diseases.

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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