Dave Ankarlo

8 total papers · 651 total citations
4 papers, 489 citations indexed

About

Dave Ankarlo is a scholar working on Immunology, Oncology and Education. According to data from OpenAlex, Dave Ankarlo has authored 4 papers receiving a total of 489 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Immunology, 2 papers in Oncology and 1 paper in Education. Recurrent topics in Dave Ankarlo's work include Immune Cell Function and Interaction (4 papers), T-cell and B-cell Immunology (3 papers) and CAR-T cell therapy research (2 papers). Dave Ankarlo is often cited by papers focused on Immune Cell Function and Interaction (4 papers), T-cell and B-cell Immunology (3 papers) and CAR-T cell therapy research (2 papers). Dave Ankarlo collaborates with scholars based in United States and Myanmar. Dave Ankarlo's co-authors include Todd Lenvik, Jeffrey S. Miller, Bree Foley, Xianghua Luo, Sarah Cooley, Bin Zhang, Rizwan Romee, Bruce Walcheck, Yue Wang and Bruce R. Blazar and has published in prestigious journals such as Blood, The Journal of Immunology and Biology of Blood and Marrow Transplantation.

In The Last Decade

Dave Ankarlo

4 papers receiving 485 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Dave Ankarlo 427 226 62 49 47 4 489
Ana C. Edwards 351 0.8× 231 1.0× 50 0.8× 40 0.8× 48 1.0× 4 446
K Yasukawa 265 0.6× 198 0.9× 102 1.6× 46 0.9× 53 1.1× 6 488
Édgar Garavito 303 0.7× 238 1.1× 86 1.4× 33 0.7× 31 0.7× 9 508
J. Bohinjec 372 0.9× 281 1.2× 85 1.4× 17 0.3× 104 2.2× 10 543
Masaru Taniguchi 423 1.0× 102 0.5× 110 1.8× 30 0.6× 35 0.7× 8 523
Krystle Veerman 328 0.8× 195 0.9× 176 2.8× 27 0.6× 31 0.7× 6 490
Jill Stanley 431 1.0× 263 1.2× 87 1.4× 47 1.0× 27 0.6× 9 531
Korina G. Veenstra 316 0.7× 215 1.0× 140 2.3× 38 0.8× 25 0.5× 8 482
B. S. Soler Federsppiel 284 0.7× 162 0.7× 139 2.2× 31 0.6× 35 0.7× 7 419
Geoffrey Catalano 310 0.7× 164 0.7× 212 3.4× 47 1.0× 23 0.5× 6 499

Countries citing papers authored by Dave Ankarlo

Since Specialization
Citations

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

Fields of papers citing papers by Dave Ankarlo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dave Ankarlo. 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 Dave Ankarlo. The network helps show where Dave Ankarlo may publish in the future.

Co-authorship network of co-authors of Dave Ankarlo

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

All Works

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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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