Gaël Sugano

1.0k total citations · 1 hit paper
7 papers, 784 citations indexed

About

Gaël Sugano is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Gaël Sugano has authored 7 papers receiving a total of 784 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 4 papers in Oncology and 3 papers in Molecular Biology. Recurrent topics in Gaël Sugano's work include Phagocytosis and Immune Regulation (3 papers), Immune cells in cancer (3 papers) and Cancer, Stress, Anesthesia, and Immune Response (2 papers). Gaël Sugano is often cited by papers focused on Phagocytosis and Immune Regulation (3 papers), Immune cells in cancer (3 papers) and Cancer, Stress, Anesthesia, and Immune Response (2 papers). Gaël Sugano collaborates with scholars based in United Kingdom, United States and France. Gaël Sugano's co-authors include Jeffrey W. Pollard, Luca Cassetta, Roy Noy, Daniel Soong, Jiufeng Li, Takanori Kitamura, Bin‐Zhi Qian, Yu Kato, Clotilde Théry and Sebastián Amigorena and has published in prestigious journals such as The Journal of Experimental Medicine, The Journal of Cell Biology and Oncogene.

In The Last Decade

Gaël Sugano

7 papers receiving 774 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.

CCL2-induced chemokine cascade promotes breast cancer metastasis by enhancing retention of metastasis-associated macrophages

2015 509 citations Takanori Kitamura, Bin‐Zhi Qian et al. The Journal of Experimental Medicine profile →

Peers

Gaël Sugano

IMMUN

ONCOL

MB

CR

PRM

Ling Lin China

Elio Schouppe Belgium

Sugandha Saxena United States

Yumi Kinugasa‐Katayama Japan

Anandi Sawant United States

Hannah H. Yan United States

Moses Donkor United States

Douglas Marvel United States

Anusha-Preethi Ganesan United States

Nicolò Rigamonti Switzerland

Ling Lin China

Gaël Sugano

398 ×0.8

IMMUN

333 ×0.9

ONCOL

366 ×1.2

MB

197 ×1.5

CR

73 ×1.4

PRM

Citations per year, relative to Gaël Sugano Gaël Sugano (= 1×) peers Ling Lin

Countries citing papers authored by Gaël Sugano

Since Specialization

Citations

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

Fields of papers citing papers by Gaël Sugano

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gaël Sugano

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

All Works

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7 of 7 papers shown

1.

Kitamura, Takanori, Yu Kato, Demi Brownlie, et al.. (2019). Mammary Tumor Cells with High Metastatic Potential Are Hypersensitive to Macrophage-Derived HGF. Cancer Immunology Research. 7(12). 2052–2064. 14 indexed citations

2.

Cassetta, Luca, Roy Noy, Agnieszka Swierczak, et al.. (2016). Isolation of Mouse and Human Tumor-Associated Macrophages. Advances in experimental medicine and biology. 899. 211–229. 55 indexed citations

3.

Kitamura, Takanori, Bin‐Zhi Qian, Daniel Soong, et al.. (2015). CCL2-induced chemokine cascade promotes breast cancer metastasis by enhancing retention of metastasis-associated macrophages. The Journal of Experimental Medicine. 212(7). 1043–1059. 509 indexed citations breakdown →

4.

Kitamura, Takanori, Bin‐Zhi Qian, Daniel Soong, et al.. (2015). CCL2-induced chemokine cascade promotes breast cancer metastasis by enhancing retention of metastasis-associated macrophages. The Journal of Cell Biology. 209(6). 2096OIA117–2096OIA117. 10 indexed citations

5.

Behi, Mohamed El, Sophie Krumeich, Catalina Lodillinsky, et al.. (2013). An essential role for decorin in bladder cancer invasiveness. EMBO Molecular Medicine. 5(12). 1835–1851. 38 indexed citations

6.

Sugano, Gaël, Isabelle Bernard‐Pierrot, Marick Laé, et al.. (2010). Milk fat globule—epidermal growth factor—factor VIII (MFGE8)/lactadherin promotes bladder tumor development. Oncogene. 30(6). 642–653. 45 indexed citations

7.

Véron, P., Élodie Segura, Gaël Sugano, Sebastián Amigorena, & Clotilde Théry. (2005). Accumulation of MFG-E8/lactadherin on exosomes from immature dendritic cells. Blood Cells Molecules and Diseases. 35(2). 81–88. 113 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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