Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Characterization of the A549 Cell Line as a Type II Pulmonary Epithelial Cell Model for Drug Metabolism
Countries citing papers authored by Michael L. Avery
Since
Specialization
Citations
This map shows the geographic impact of Michael L. Avery'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 L. Avery with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael L. Avery more than expected).
Fields of papers citing papers by Michael L. Avery
This network shows the impact of papers produced by Michael L. Avery. 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 L. Avery. The network helps show where Michael L. Avery may publish in the future.
Co-authorship network of co-authors of Michael L. Avery
This figure shows the co-authorship network connecting the top 25 collaborators of Michael L. Avery.
A scholar is included among the top collaborators of Michael L. Avery 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 L. Avery. Michael L. Avery is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Humphrey, John S., Eric A. Tillman, & Michael L. Avery. (2004). Vulture-Cattle Interactions at a Central Florida Ranch. Insecta mundi. 21(21).6 indexed citations
Avery, Michael L., et al.. (1996). AGELAIUS BLACKBIRDS AND RICE IN URUGUAY AND THE SOUTHEASTERN UNITED STATES. Proceedings - Vertebrate Pest Conference. 17(17).2 indexed citations
12.
Avery, Michael L.. (1994). FIELD TESTS OF A COPPER-BASED FUNGICIDE AS A BIRD REPELLENT RICE SEED TREATMENT. Insecta mundi. 16(16).3 indexed citations
13.
Decker, David G., Michael L. Avery, & M. O. Way. (1990). REDUCING BLACKBIRD DAMAGE TO NEWLY PLANTED RICE WITH A NONTOXIC CLAY-BASED SEED COATING. Insecta mundi. 14(14). 327–331.33 indexed citations
14.
Avery, Michael L., et al.. (1988). FLIGHT PEN EVALUATION OF EYESPOT BALLOONS TO PROTECT CITRUS FROM BIRD DEPREDATIONS. Insecta mundi. 13(13). 277–280.4 indexed citations
15.
Avery, Michael L., et al.. (1982). Bird damage to sunflowers in the Sacramento Valley, California. Insecta mundi. 10(10).3 indexed citations
16.
Avery, Michael L. & R. Kent Schreiber. (1979). The Clean Air Act: its relation to fish and wildlife resources. FWS/OBS.2 indexed citations
17.
Avery, Michael L.. (1978). Impacts of transmission lines on birds in flight: proceedings of a workshop. FWS/OBS.2 indexed citations
18.
Avery, Michael L., Paul F. Springer, & J. Frank Cassel. (1978). The composition and seasonal variation of bird losses at a tall tower in southeastern North Dakota. Digital Commons - University of South Florida (University of South Florida). 32(6). 1114–1121.11 indexed citations
19.
Avery, Michael L., et al.. (1978). Avian mortality at man-made structures: an annotated bibliography. FWS/OBS. 0–108.21 indexed citations
20.
Avery, Michael L. & T. Prabhakar Clement. (1972). Bird mortality at four towers in eastern North Dakota--fall 1972. 4. 87–95.16 indexed citations
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.