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.
Type, Density, and Location of Immune Cells Within Human Colorectal Tumors Predict Clinical Outcome
20064.8k citationsJérôme Galon, Anne Costes et al.profile →
ClueGO: a Cytoscape plug-in to decipher functionally grouped gene ontology and pathway annotation networks
20094.6k citationsGabriela Bindea, Bernhard Mlecnik et al.Bioinformaticsprofile →
The immune contexture in human tumours: impact on clinical outcome
20123.5k citationsWolf H. Fridman, Franck Pagès et al.Nature reviews. Cancerprofile →
Spatiotemporal Dynamics of Intratumoral Immune Cells Reveal the Immune Landscape in Human Cancer
20132.9k citationsGabriela Bindea, Bernhard Mlecnik et al.profile →
Estimating the population abundance of tissue-infiltrating immune and stromal cell populations using gene expression
20162.2k citationsÉtienne Becht, Nicolás A. Giraldo et al.Genome biologyprofile →
Effector Memory T Cells, Early Metastasis, and Survival in Colorectal Cancer
20051.6k citationsFranck Pagès, Anne Berger et al.profile →
The immune contexture in cancer prognosis and treatment
20171.6k citationsWolf H. Fridman, Laurence Zitvogel et al.Nature Reviews Clinical Oncologyprofile →
Tertiary lymphoid structures in the era of cancer immunotherapy
20191.1k citationsCatherine Sautès‐Fridman, Florent Petitprez et al.Nature reviews. Cancerprofile →
Clinical Impact of Different Classes of Infiltrating T Cytotoxic and Helper Cells (Th1, Th2, Treg, Th17) in Patients with Colorectal Cancer
2011877 citationsMarie Tosolini, Amos Kirilovsky et al.Cancer Researchprofile →
Immune infiltration in human tumors: a prognostic factor that should not be ignored
2009805 citationsFranck Pagès, Jérôme Galon et al.profile →
Histopathologic-Based Prognostic Factors of Colorectal Cancers Are Associated With the State of the Local Immune Reaction
2011765 citationsBernhard Mlecnik, Marie Tosolini et al.profile →
Long-Term Survival for Patients With Non–Small-Cell Lung Cancer With Intratumoral Lymphoid Structures
2008742 citationsMarie‐Caroline Dieu‐Nosjean, Éric Tartour et al.profile →
In Situ Cytotoxic and Memory T Cells Predict Outcome in Patients With Early-Stage Colorectal Cancer
2009724 citationsFranck Pagès, Amos Kirilovsky et al.profile →
Presence of B Cells in Tertiary Lymphoid Structures Is Associated with a Protective Immunity in Patients with Lung Cancer
2014598 citationsClaire Germain, Samantha Knockaert et al.profile →
Comprehensive evaluation of transcriptome-based cell-type quantification methods for immuno-oncology
2019569 citationsGregor Sturm, Francesca Finotello et al.Bioinformaticsprofile →
Dendritic Cells in Tumor-Associated Tertiary Lymphoid Structures Signal a Th1 Cytotoxic Immune Contexture and License the Positive Prognostic Value of Infiltrating CD8+ T Cells
2013500 citationsJérémy Goc, Claire Germain et al.Cancer Researchprofile →
The clinical role of the TME in solid cancer
2018487 citationsNicolás A. Giraldo, Rafael Sanchez‐Salas et al.British Journal of Cancerprofile →
Tertiary lymphoid structures in cancer and beyond
2014432 citationsMarie‐Caroline Dieu‐Nosjean, Jérémy Goc et al.profile →
The Tumor Microenvironment in the Response to Immune Checkpoint Blockade Therapies
2020401 citationsFlorent Petitprez, Aurélien de Reyniès et al.profile →
Immune and Stromal Classification of Colorectal Cancer Is Associated with Molecular Subtypes and Relevant for Precision Immunotherapy
2016397 citationsÉtienne Becht, Aurélien de Reyniès et al.Clinical Cancer Researchprofile →
B cells and tertiary lymphoid structures as determinants of tumour immune contexture and clinical outcome
2022379 citationsWolf H. Fridman, Florent Petitprez et al.Nature Reviews Clinical Oncologyprofile →
Orchestration and Prognostic Significance of Immune Checkpoints in the Microenvironment of Primary and Metastatic Renal Cell Cancer
2015356 citationsNicolás A. Giraldo, Étienne Becht et al.Clinical Cancer Researchprofile →
Growth/Differentiation Factor-15 (GDF-15): From Biomarker to Novel Targetable Immune Checkpoint
Countries citing papers authored by Wolf H. Fridman
Since
Specialization
Citations
This map shows the geographic impact of Wolf H. Fridman'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 Wolf H. Fridman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wolf H. Fridman more than expected).
This network shows the impact of papers produced by Wolf H. Fridman. 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 Wolf H. Fridman. The network helps show where Wolf H. Fridman may publish in the future.
Co-authorship network of co-authors of Wolf H. Fridman
This figure shows the co-authorship network connecting the top 25 collaborators of Wolf H. Fridman.
A scholar is included among the top collaborators of Wolf H. Fridman 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 Wolf H. Fridman. Wolf H. Fridman is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Sautès‐Fridman, Catherine, Florent Petitprez, Julien Caldéraro, & Wolf H. Fridman. (2019). Tertiary lymphoid structures in the era of cancer immunotherapy. Nature reviews. Cancer. 19(6). 307–325.1117 indexed citations breakdown →
Sturm, Gregor, Francesca Finotello, Florent Petitprez, et al.. (2019). Comprehensive evaluation of transcriptome-based cell-type quantification methods for immuno-oncology. Bioinformatics. 35(14). i436–i445.569 indexed citations breakdown →
6.
Caldéraro, Julien, Florent Petitprez, Étienne Becht, et al.. (2018). Intra-tumoral tertiary lymphoid structures are associated with a low risk of early recurrence of hepatocellular carcinoma. Journal of Hepatology. 70(1). 58–65.315 indexed citations breakdown →
7.
Giraldo, Nicolás A., Rafael Sanchez‐Salas, J. David Peske, et al.. (2018). The clinical role of the TME in solid cancer. British Journal of Cancer. 120(1). 45–53.487 indexed citations breakdown →
8.
Fridman, Wolf H., Laurence Zitvogel, Catherine Sautès‐Fridman, & Guido Kroemer. (2017). The immune contexture in cancer prognosis and treatment. Nature Reviews Clinical Oncology. 14(12). 717–734.1555 indexed citations breakdown →
Becht, Étienne, Nicolás A. Giraldo, Laetitia Lacroix, et al.. (2016). Estimating the population abundance of tissue-infiltrating immune and stromal cell populations using gene expression. Genome biology. 17(1). 218–218.2205 indexed citations breakdown →
11.
Becht, Étienne, Aurélien de Reyniès, Nicolás A. Giraldo, et al.. (2016). Immune and Stromal Classification of Colorectal Cancer Is Associated with Molecular Subtypes and Relevant for Precision Immunotherapy. Clinical Cancer Research. 22(16). 4057–4066.397 indexed citations breakdown →
12.
Giraldo, Nicolás A., Étienne Becht, Franck Pagès, et al.. (2015). Orchestration and Prognostic Significance of Immune Checkpoints in the Microenvironment of Primary and Metastatic Renal Cell Cancer. Clinical Cancer Research. 21(13). 3031–3040.356 indexed citations breakdown →
Goc, Jérémy, Claire Germain, Thi Kim Duy Vo-Bourgais, et al.. (2013). Dendritic Cells in Tumor-Associated Tertiary Lymphoid Structures Signal a Th1 Cytotoxic Immune Contexture and License the Positive Prognostic Value of Infiltrating CD8+ T Cells. Cancer Research. 74(3). 705–715.500 indexed citations breakdown →
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.