John P. Finnigan

1.5k total citations
14 papers, 416 citations indexed

About

John P. Finnigan is a scholar working on Immunology, Molecular Biology and Hematology. According to data from OpenAlex, John P. Finnigan has authored 14 papers receiving a total of 416 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 6 papers in Molecular Biology and 5 papers in Hematology. Recurrent topics in John P. Finnigan's work include Immunotherapy and Immune Responses (8 papers), vaccines and immunoinformatics approaches (4 papers) and Multiple Myeloma Research and Treatments (4 papers). John P. Finnigan is often cited by papers focused on Immunotherapy and Immune Responses (8 papers), vaccines and immunoinformatics approaches (4 papers) and Multiple Myeloma Research and Treatments (4 papers). John P. Finnigan collaborates with scholars based in United States, Singapore and United Kingdom. John P. Finnigan's co-authors include Nina Bhardwaj, Ronald Hoffman, Cansu Cimen Bozkus, John Mascarenhas, Camelia Iancu‐Rubin, Vladimir Roudko, Andrew S. Ishizuka, Geoffrey M. Lynn, Robert A. Seder and Hidehiro Yamane and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and Blood.

In The Last Decade

John P. Finnigan

13 papers receiving 411 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
John P. Finnigan United States	8	264	204	158	67	48	14	416
Fumihiro Fujiki Japan	15	292 1.1×	281 1.4×	320 2.0×	48 0.7×	40 0.8×	42	580
Martín Bonamino Brazil	12	171 0.6×	233 1.1×	139 0.9×	100 1.5×	37 0.8×	27	460
Kathryn Ruisaard United States	9	272 1.0×	324 1.6×	160 1.0×	77 1.1×	44 0.9×	16	507
Huaijian Guo Canada	8	492 1.9×	236 1.2×	166 1.1×	148 2.2×	24 0.5×	11	661
Nesrine Lajmi Germany	10	268 1.0×	193 0.9×	183 1.2×	192 2.9×	36 0.8×	14	472
Frauke M. Schnorfeil Germany	7	282 1.1×	371 1.8×	164 1.0×	202 3.0×	32 0.7×	9	556
Ashley Ambrose United Kingdom	10	248 0.9×	128 0.6×	176 1.1×	33 0.5×	20 0.4×	16	423
Tina Nuebling Germany	9	270 1.0×	247 1.2×	132 0.8×	106 1.6×	37 0.8×	13	455
Kevin M. Friedman United States	8	283 1.1×	405 2.0×	193 1.2×	67 1.0×	21 0.4×	15	530
Antje van Lessen Germany	10	169 0.6×	133 0.7×	101 0.6×	78 1.2×	42 0.9×	18	322

Countries citing papers authored by John P. Finnigan

Since Specialization

Citations

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

Fields of papers citing papers by John P. Finnigan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John P. Finnigan

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

All Works

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14 of 14 papers shown

Finnigan, John P., Jenna H. Newman, Y. Patskovsky, et al.. (2024). Structural basis for self-discrimination by neoantigen-specific TCRs. Nature Communications. 15(1). 2140–2140. 7 indexed citations

Baharom, Faezzah, Ramiro A. Ramirez-Valdez, Hidehiro Yamane, et al.. (2020). Intravenous nanoparticle vaccination generates stem-like TCF1+ neoantigen-specific CD8+ T cells. Nature Immunology. 22(1). 41–52. 157 indexed citations

Kodysh, Julia, Thomas U. Marron, Alex Rubinsteyn, et al.. (2020). Abstract CT173: PGV-001: A phase I trial of a multipeptide personalized neoantigen vaccine in the adjuvant setting. Cancer Research. 80(16_Supplement). CT173–CT173. 1 indexed citations

Perumal, Deepak, Naoko Imai, Alessandro Laganà, et al.. (2019). Mutation-derived Neoantigen-specific T-cell Responses in Multiple Myeloma. Clinical Cancer Research. 26(2). 450–464. 59 indexed citations

Bozkus, Cansu Cimen, Vladimir Roudko, John P. Finnigan, et al.. (2019). Immune Checkpoint Blockade Enhances Shared Neoantigen-Induced T-cell Immunity Directed against Mutated Calreticulin in Myeloproliferative Neoplasms. Cancer Discovery. 9(9). 1192–1207. 69 indexed citations

Bozkus, Cansu Cimen, Vladimir Roudko, John P. Finnigan, et al.. (2019). Abstract B072: Immune checkpoint blockade enhances mutated calreticulin-induced T-cell immunity in myeloproliferative neoplasms. Cancer Immunology Research. 7(2_Supplement). B072–B072. 1 indexed citations

Blázquez, Ana-Belén, Alex Rubinsteyn, Julia Kodysh, et al.. (2019). A phase I study of the safety and immunogenicity of a multi-peptide personalized genomic vaccine in the adjuvant treatment of solid tumors and hematological malignancies.. Journal of Clinical Oncology. 37(15_suppl). e14307–e14307. 4 indexed citations

Rubinsteyn, Alex, Julia Kodysh, Bülent Arman Aksoy, et al.. (2018). Computational Pipeline for the PGV-001 Neoantigen Vaccine Trial. Frontiers in Immunology. 8. 1807–1807. 49 indexed citations

Bozkus, Cansu Cimen, John P. Finnigan, John Mascarenhas, et al.. (2017). Immune Checkpoint Blockade Enhances Mutated Calreticulin-Induced T Cell Immunity in Myeloproliferative Neoplasms. Blood. 130. 384–384. 3 indexed citations

10.

Balan, Sreekumar, John P. Finnigan, & Nina Bhardwaj. (2017). Dendritic Cell Strategies for Eliciting Mutation-Derived Tumor Antigen Responses in Patients. The Cancer Journal. 23(2). 131–137. 10 indexed citations

11.

Perumal, Deepak, Antonio Simone Laganà, Alex Rubinsteyn, et al.. (2015). Patient-Specific Mutation-Derived Tumor Antigens As Targets for Cancer Immunotherapy in Multiple Myeloma. Blood. 126(23). 1851–1851.

12.

Finnigan, John P., Alex Rubinsteyn, Jeff Hammerbacher, & Nina Bhardwaj. (2015). Mutation-Derived Tumor Antigens: Novel Targets in Cancer Immunotherapy.. PubMed. 29(12). 970–2, 974. 8 indexed citations

13.

Levovitz, Chaya, Dan Chen, Emma Ivansson, et al.. (2014). TGF β Receptor 1: An Immune Susceptibility Gene in HPV-Associated Cancer. Cancer Research. 74(23). 6833–6844. 39 indexed citations

14.

Finnigan, John P. & Andrew G. Sikora. (2014). Counseling the Patient with Potentially HPV-Related Newly Diagnosed Head and Neck Cancer. Current Oncology Reports. 16(3). 375–375. 9 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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