Vincent Chan

8.0k total citations · 2 hit papers
5 papers, 4.5k citations indexed

About

Vincent Chan is a scholar working on Oncology, Immunology and Cancer Research. According to data from OpenAlex, Vincent Chan has authored 5 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Oncology, 2 papers in Immunology and 2 papers in Cancer Research. Recurrent topics in Vincent Chan's work include Cancer Genomics and Diagnostics (2 papers), CAR-T cell therapy research (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). Vincent Chan is often cited by papers focused on Cancer Genomics and Diagnostics (2 papers), CAR-T cell therapy research (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). Vincent Chan collaborates with scholars based in United States and United Kingdom. Vincent Chan's co-authors include Matthew F. Krummel, Mikhail Binnewies, Edward W. Roberts, Kelly Kersten, T. Kevin Howcroft, Dmitry I. Gabrilovich, Weiping Zou, Catherine C. Hedrick, Rakesh K. Jain and Suzanne Ostrand‐Rosenberg and has published in prestigious journals such as Cell, Nature Medicine and Scientific Reports.

In The Last Decade

Vincent Chan

5 papers receiving 4.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Understanding the tumor immune microenvironment (TIME) for effective therapy

2018 4.0k citations Mikhail Binnewies, Edward W. Roberts et al. Nature Medicine profile →
Unleashing Type-2 Dendritic Cells to Drive Protective Antitumor CD4+ T Cell Immunity

2019 443 citations Mikhail Binnewies, Adriana M. Mujal et al. Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Vincent Chan United States	5	2.4k	2.2k	1.5k	873	767	5	4.5k
Elisa C. Woodhouse United States	12	2.6k 1.1×	2.0k 0.9×	2.3k 1.6×	956 1.1×	1.1k 1.4×	14	5.6k
Meriem Hasmim France	28	2.2k 0.9×	2.1k 1.0×	1.5k 1.0×	536 0.6×	1.5k 1.9×	42	4.6k
Matthew M. Gubin United States	17	2.7k 1.1×	2.8k 1.3×	1.7k 1.1×	549 0.6×	1.2k 1.6×	22	5.1k
Carola H. Ries Germany	25	1.7k 0.7×	2.0k 0.9×	1.3k 0.9×	566 0.6×	525 0.7×	38	3.7k
Ruth Ganß Australia	32	1.9k 0.8×	1.9k 0.9×	1.9k 1.3×	360 0.4×	1.1k 1.4×	58	4.5k
Kelly Kersten United States	13	3.6k 1.5×	3.7k 1.7×	2.2k 1.5×	1.1k 1.3×	1.1k 1.4×	20	6.9k
Leila Akkari Netherlands	24	1.8k 0.7×	3.3k 1.5×	1.9k 1.3×	488 0.6×	930 1.2×	45	5.6k
David A. Barbie United States	30	2.2k 0.9×	1.4k 0.6×	2.7k 1.8×	630 0.7×	628 0.8×	81	5.0k
Sachie Hiratsuka Japan	18	2.2k 0.9×	1.4k 0.6×	3.2k 2.2×	549 0.6×	1.6k 2.1×	24	5.4k
Oakley C. Olson United States	18	1.5k 0.6×	2.3k 1.0×	1.3k 0.9×	324 0.4×	702 0.9×	23	4.2k

Countries citing papers authored by Vincent Chan

Since Specialization

Citations

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

Fields of papers citing papers by Vincent Chan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vincent Chan

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

All Works

Sort: Min cites: Since: Top N: Style:

5 of 5 papers shown

1.

Kratz, Johannes R., Jessica Tsui, Vivianne W. Ding, et al.. (2021). Genetic and immunologic features of recurrent stage I lung adenocarcinoma. Scientific Reports. 11(1). 23690–23690. 8 indexed citations

2.

Binnewies, Mikhail, Adriana M. Mujal, Joshua L. Pollack, et al.. (2019). Unleashing Type-2 Dendritic Cells to Drive Protective Antitumor CD4+ T Cell Immunity. Cell. 177(3). 556–571.e16. 443 indexed citations breakdown →

3.

Binnewies, Mikhail, Edward W. Roberts, Kelly Kersten, et al.. (2018). Understanding the tumor immune microenvironment (TIME) for effective therapy. Nature Medicine. 24(5). 541–550. 3986 indexed citations breakdown →

4.

Kundranda, Madappa N., et al.. (2006). Primary Malignant Melanoma of the Lung: A Case Report and Review of the Literature. Clinical Lung Cancer. 7(4). 279–281. 12 indexed citations

5.

Greenough, Anne, et al.. (1992). Diaphragmatic hypoplasia in association with hypoplastic lungs. Pediatric Pulmonology. 13(3). 181–183. 7 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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