Justin C. Jagodinsky

55 total papers · 964 total citations
19 papers, 443 citations indexed

About

Justin C. Jagodinsky is a scholar working on Oncology, Immunology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Justin C. Jagodinsky has authored 19 papers receiving a total of 443 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Oncology, 10 papers in Immunology and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Justin C. Jagodinsky's work include Cancer Immunotherapy and Biomarkers (10 papers), Immunotherapy and Immune Responses (10 papers) and Brain Metastases and Treatment (4 papers). Justin C. Jagodinsky is often cited by papers focused on Cancer Immunotherapy and Biomarkers (10 papers), Immunotherapy and Immune Responses (10 papers) and Brain Metastases and Treatment (4 papers). Justin C. Jagodinsky collaborates with scholars based in United States, Chile and Greece. Justin C. Jagodinsky's co-authors include Zachary S. Morris, Paul M. Harari, Suneel Apte, Chelsea Hope, Fotis Asimakopoulos, U. Akgun, Jeffrey L. Jensen, Peiman Hematti, Shigeki Miyamoto and Natalie S. Callander and has published in prestigious journals such as Blood, Cancer Research and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Justin C. Jagodinsky

17 papers receiving 437 citations

Author Peers

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

Author Last Decade Papers Cites
Justin C. Jagodinsky 227 145 128 84 61 19 443
Pedro Enrique Guerrero 126 0.6× 144 1.0× 245 1.9× 42 0.5× 53 0.9× 17 385
Cristina Garrido 226 1.0× 188 1.3× 130 1.0× 52 0.6× 43 0.7× 17 438
Dylan Ferreira 114 0.5× 154 1.1× 317 2.5× 49 0.6× 81 1.3× 24 482
Marta Giussani 195 0.9× 48 0.3× 169 1.3× 63 0.8× 105 1.7× 16 385
Magdalena Thurin 238 1.0× 153 1.1× 162 1.3× 50 0.6× 75 1.2× 12 492
Hanne K. Høifødt 213 0.9× 80 0.6× 151 1.2× 158 1.9× 117 1.9× 23 470
Kristina Y. Aguilera 194 0.9× 73 0.5× 202 1.6× 46 0.5× 97 1.6× 16 476
Kian Kani 177 0.8× 51 0.4× 246 1.9× 72 0.9× 60 1.0× 21 437
Duoduo Wu 150 0.7× 112 0.8× 176 1.4× 58 0.7× 45 0.7× 15 476
Eric C. Yang 131 0.6× 92 0.6× 182 1.4× 51 0.6× 32 0.5× 14 408

Countries citing papers authored by Justin C. Jagodinsky

Since Specialization
Citations

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

Fields of papers citing papers by Justin C. Jagodinsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Justin C. Jagodinsky. 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 Justin C. Jagodinsky. The network helps show where Justin C. Jagodinsky may publish in the future.

Co-authorship network of co-authors of Justin C. Jagodinsky

This figure shows the co-authorship network connecting the top 25 collaborators of Justin C. Jagodinsky. A scholar is included among the top collaborators of Justin C. Jagodinsky 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 Justin C. Jagodinsky. Justin C. Jagodinsky 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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