Brian H. Ladle

55 total papers · 1.2k total citations
24 papers, 702 citations indexed

About

Brian H. Ladle is a scholar working on Oncology, Immunology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Brian H. Ladle has authored 24 papers receiving a total of 702 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Oncology, 12 papers in Immunology and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Brian H. Ladle's work include CAR-T cell therapy research (8 papers), Immunotherapy and Immune Responses (8 papers) and Cancer Immunotherapy and Biomarkers (5 papers). Brian H. Ladle is often cited by papers focused on CAR-T cell therapy research (8 papers), Immunotherapy and Immune Responses (8 papers) and Cancer Immunotherapy and Biomarkers (5 papers). Brian H. Ladle collaborates with scholars based in United States, Canada and Sweden. Brian H. Ladle's co-authors include Elizabeth M. Jaffee, Todd D. Armstrong, R. Todd Reilly, Leisha A. Emens, Anne M. Ercolini, Elizabeth A. Manning, Jean-Pascal H. Machiels, Lukas W. Pfannenstiel, Joan Glick Bieler and Christopher Gamper and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Experimental Medicine.

In The Last Decade

Brian H. Ladle

20 papers receiving 698 citations

Author Peers

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

Author Last Decade Papers Cites
Brian H. Ladle 540 346 233 37 32 24 702
Monika Kusio-Kobiałka 360 0.7× 403 1.2× 253 1.1× 38 1.0× 36 1.1× 15 753
Seila Lorenzo‐Herrero 468 0.9× 406 1.2× 135 0.6× 45 1.2× 18 0.6× 26 696
Myriam N. Bouchlaka 490 0.9× 329 1.0× 171 0.7× 30 0.8× 32 1.0× 31 815
Karen O. Dixon 629 1.2× 388 1.1× 177 0.8× 68 1.8× 31 1.0× 20 862
Christian Sordo‐Bahamonde 433 0.8× 386 1.1× 118 0.5× 43 1.2× 19 0.6× 24 641
Stephen G. Voss 461 0.9× 467 1.3× 129 0.6× 84 2.3× 37 1.2× 24 801
Hidetoshi Nakagawa 527 1.0× 417 1.2× 142 0.6× 39 1.1× 32 1.0× 35 846
Alexander Martens 528 1.0× 501 1.4× 179 0.8× 45 1.2× 18 0.6× 22 783
Heba Nowyhed 668 1.2× 271 0.8× 178 0.8× 32 0.9× 36 1.1× 17 862
Håkan Mellstedt 456 0.8× 318 0.9× 127 0.5× 42 1.1× 39 1.2× 29 746

Countries citing papers authored by Brian H. Ladle

Since Specialization
Citations

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

Fields of papers citing papers by Brian H. Ladle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian H. Ladle. 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 Brian H. Ladle. The network helps show where Brian H. Ladle may publish in the future.

Co-authorship network of co-authors of Brian H. Ladle

This figure shows the co-authorship network connecting the top 25 collaborators of Brian H. Ladle. A scholar is included among the top collaborators of Brian H. Ladle 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 Brian H. Ladle. Brian H. Ladle 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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