Shawn P. Kubli

1.2k total citations · 1 hit paper
8 papers, 702 citations indexed

About

Shawn P. Kubli is a scholar working on Ecology, Evolution, Behavior and Systematics, Infectious Diseases and Immunology. According to data from OpenAlex, Shawn P. Kubli has authored 8 papers receiving a total of 702 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Ecology, Evolution, Behavior and Systematics, 3 papers in Infectious Diseases and 3 papers in Immunology. Recurrent topics in Shawn P. Kubli's work include Animal Behavior and Reproduction (4 papers), Marine animal studies overview (2 papers) and Viral Infections and Vectors (2 papers). Shawn P. Kubli is often cited by papers focused on Animal Behavior and Reproduction (4 papers), Marine animal studies overview (2 papers) and Viral Infections and Vectors (2 papers). Shawn P. Kubli collaborates with scholars based in Canada, Hong Kong and Luxembourg. Shawn P. Kubli's co-authors include Tak W. Mak, Thorsten Berger, Lillian L. Siu, Daniel Vilarim Araújo, T. Matsuyama, Steven K. Yoshinaga, Klaus Pfeffer, Elizabeth A. MacDougall‐Shackleton, Kim L. Schmidt and Scott A. MacDougall‐Shackleton and has published in prestigious journals such as Science, Nature Communications and Nature Reviews Drug Discovery.

In The Last Decade

Shawn P. Kubli

8 papers receiving 695 citations

Hit Papers

Beyond immune checkpoint blockade: emerging immunological... 2021 2026 2022 2024 2021 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Shawn P. Kubli Canada 7 257 222 190 152 99 8 702
Fredrik Eriksson Sweden 17 307 1.2× 290 1.3× 198 1.0× 67 0.4× 46 0.5× 21 976
Carrie S. Dolman United States 17 429 1.7× 393 1.8× 277 1.5× 40 0.3× 37 0.4× 21 1.4k
Meng Lin China 20 407 1.6× 596 2.7× 140 0.7× 110 0.7× 11 0.1× 33 1.1k
Eleonora Aricò Italy 17 418 1.6× 277 1.2× 264 1.4× 71 0.5× 16 0.2× 33 872
Mark Trottier United States 16 213 0.8× 594 2.7× 55 0.3× 89 0.6× 30 0.3× 22 1.0k
Alexandra Popa France 17 118 0.5× 598 2.7× 70 0.4× 76 0.5× 30 0.3× 39 932
Katherine Rothamel United States 12 639 2.5× 602 2.7× 130 0.7× 125 0.8× 19 0.2× 17 1.1k
Oleg Kruglov United States 12 185 0.7× 196 0.9× 98 0.5× 26 0.2× 8 0.1× 21 756
Michelle N. Messmer United States 15 715 2.8× 540 2.4× 363 1.9× 82 0.5× 50 0.5× 18 1.3k

Countries citing papers authored by Shawn P. Kubli

Since Specialization
Citations

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

Fields of papers citing papers by Shawn P. Kubli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shawn P. Kubli. 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 Shawn P. Kubli. The network helps show where Shawn P. Kubli may publish in the future.

Co-authorship network of co-authors of Shawn P. Kubli

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

All Works

8 of 8 papers shown
1.
Kubli, Shawn P., Thorsten Berger, Daniel Vilarim Araújo, Lillian L. Siu, & Tak W. Mak. (2021). Beyond immune checkpoint blockade: emerging immunological strategies. Nature Reviews Drug Discovery. 20(12). 899–919. 326 indexed citations breakdown →
2.
Matsuyama, T., Shawn P. Kubli, Steven K. Yoshinaga, Klaus Pfeffer, & Tak W. Mak. (2020). An aberrant STAT pathway is central to COVID-19. Cell Death and Differentiation. 27(12). 3209–3225. 208 indexed citations
3.
Cox, Maureen A., Gordon S. Duncan, Gloria Lin, et al.. (2019). Choline acetyltransferase–expressing T cells are required to control chronic viral infection. Science. 363(6427). 639–644. 105 indexed citations
4.
Kubli, Shawn P., Larsen Vornholz, Gordon S. Duncan, et al.. (2019). Fcmr regulates mononuclear phagocyte control of anti-tumor immunity. Nature Communications. 10(1). 2678–2678. 14 indexed citations
5.
Schmidt, Kim L., Shawn P. Kubli, Elizabeth A. MacDougall‐Shackleton, & Scott A. MacDougall‐Shackleton. (2015). Early-Life Stress Has Sex-Specific Effects on Immune Function in Adult Song Sparrows. Physiological and Biochemical Zoology. 88(2). 183–194. 11 indexed citations
6.
Kubli, Shawn P. & Elizabeth A. MacDougall‐Shackleton. (2014). Developmental Timing of Signals Affects Information Content: Song Complexity but Not Consistency Reflects Innate Immune Strategy in Male Song Sparrows. The American Naturalist. 183(5). 660–670. 12 indexed citations
7.
Schmidt, Kim L., Elizabeth A. MacDougall‐Shackleton, Shawn P. Kubli, & Scott A. MacDougall‐Shackleton. (2014). Developmental Stress, Condition, and Birdsong: A Case Study in Song Sparrows. Integrative and Comparative Biology. 54(4). 568–577. 20 indexed citations
8.
Nebel, Silke, Deborah M. Buehler, Shawn P. Kubli, David B. Lank, & Christopher G. Guglielmo. (2012). Does innate immune function decline with age in captive ruffs Philomachus pugnax?. Animal Biology. 63(2). 233–240. 6 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.

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