Erik Berk

1.3k total citations
18 papers, 1.1k citations indexed

About

Erik Berk is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Erik Berk has authored 18 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Immunology, 8 papers in Oncology and 5 papers in Molecular Biology. Recurrent topics in Erik Berk's work include Immunotherapy and Immune Responses (13 papers), T-cell and B-cell Immunology (7 papers) and Cancer Immunotherapy and Biomarkers (7 papers). Erik Berk is often cited by papers focused on Immunotherapy and Immune Responses (13 papers), T-cell and B-cell Immunology (7 papers) and Cancer Immunotherapy and Biomarkers (7 papers). Erik Berk collaborates with scholars based in United States, Netherlands and Switzerland. Erik Berk's co-authors include Paweł Kaliński, Vladimir R. Muzykantov, Xiumin Cui, Silvia Muro, Brian J. Czerniecki, Ravikumar Muthuswamy, Robert P. Edwards, Jeffrey L. Wong, Ingrid A. M. Derks and René Spijker and has published in prestigious journals such as SHILAP Revista de lepidopterología, Immunity and The Journal of Immunology.

In The Last Decade

Erik Berk

18 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Erik Berk United States 13 597 435 320 121 97 18 1.1k
Adam N.R. Cartwright United States 10 607 1.0× 415 1.0× 345 1.1× 117 1.0× 78 0.8× 11 1.0k
Lambert Potin United States 11 636 1.1× 705 1.6× 381 1.2× 61 0.5× 73 0.8× 14 1.2k
Emanuela Sega United States 12 696 1.2× 513 1.2× 317 1.0× 110 0.9× 46 0.5× 19 1.3k
Thomas Hieronymus Germany 27 1.2k 2.0× 299 0.7× 660 2.1× 103 0.9× 132 1.4× 47 2.1k
Kristina M. Ilieva United Kingdom 15 318 0.5× 409 0.9× 445 1.4× 112 0.9× 66 0.7× 24 1.1k
Andita Newton United States 9 729 1.2× 375 0.9× 432 1.4× 79 0.7× 221 2.3× 11 1.3k
Simon Völkl Germany 23 461 0.8× 392 0.9× 340 1.1× 45 0.4× 80 0.8× 58 1.0k
May Tun Saung United States 12 339 0.6× 392 0.9× 268 0.8× 103 0.9× 88 0.9× 15 927
Ricardo Brandwijk Netherlands 15 478 0.8× 214 0.5× 779 2.4× 158 1.3× 105 1.1× 19 1.4k
Maki Touma Japan 14 688 1.2× 218 0.5× 298 0.9× 63 0.5× 139 1.4× 28 1.1k

Countries citing papers authored by Erik Berk

Since Specialization
Citations

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

Fields of papers citing papers by Erik Berk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erik Berk

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

All Works

18 of 18 papers shown
1.
Datta, Jashodeep, Megan Fracol, Matthew T. McMillan, et al.. (2015). Association of Depressed Anti-HER2 T-Helper Type 1 Response With Recurrence in Patients With Completely Treated HER2-Positive Breast Cancer. JAMA Oncology. 2(2). 242–242. 58 indexed citations
2.
Datta, Jashodeep, Erik Berk, Shuwen Xu, et al.. (2015). Anti-HER2 CD4+ T-helper type 1 response is a novel immune correlate to pathologic response following neoadjuvant therapy in HER2-positive breast cancer. Breast Cancer Research. 17(1). 71–71. 55 indexed citations
3.
Datta, Jashodeep, Erik Berk, Jessica A. Cintolo, et al.. (2015). Rationale for a Multimodality Strategy to Enhance the Efficacy of Dendritic Cell-Based Cancer Immunotherapy. Frontiers in Immunology. 6. 271–271. 39 indexed citations
4.
Datta, Jashodeep, Cinthia Rosemblit, Erik Berk, et al.. (2015). Progressive loss of anti-HER2 CD4+ T-helper type 1 response in breast tumorigenesis and the potential for immune restoration. OncoImmunology. 4(10). e1022301–e1022301. 57 indexed citations
5.
Berk, Erik, Shuwen Xu, & Brian J. Czerniecki. (2014). Dendritic cells matured in the presence of TLR ligands overcome the immunosuppressive functions of regulatory T cells. OncoImmunology. 3(2). e27617–e27617. 7 indexed citations
6.
Datta, Jashodeep, Shuwen Xu, Cinthia Rosemblit, et al.. (2014). Novel strategy to identify MHC class II-promiscuous CD4+ peptides from tumor antigens for utilization in vaccination. Journal for ImmunoTherapy of Cancer. 2(S3). 1 indexed citations
7.
Wong, Jeffrey L., Erik Berk, Robert P. Edwards, & Paweł Kaliński. (2013). IL-18–Primed Helper NK Cells Collaborate with Dendritic Cells to Promote Recruitment of Effector CD8+ T Cells to the Tumor Microenvironment. Cancer Research. 73(15). 4653–4662. 125 indexed citations
8.
Berk, Erik, et al.. (2013). Dendritic Cell-Induced Th1 and Th17 Cell Differentiation for Cancer Therapy. SHILAP Revista de lepidopterología. 1(4). 527–549. 39 indexed citations
9.
Muthuswamy, Ravikumar, Erik Berk, Herbert J. Zeh, et al.. (2012). NF-κB Hyperactivation in Tumor Tissues Allows Tumor-Selective Reprogramming of the Chemokine Microenvironment to Enhance the Recruitment of Cytolytic T Effector Cells. Cancer Research. 72(15). 3735–3743. 112 indexed citations
10.
Berk, Erik & Paweł Kaliński. (2012). Lymphocyte-polarized DC1s. OncoImmunology. 1(8). 1443–1444. 6 indexed citations
11.
Berk, Erik, Ravikumar Muthuswamy, & Paweł Kaliński. (2012). Lymphocyte-polarized dendritic cells are highly effective in inducing tumor-specific CTLs. Vaccine. 30(43). 6216–6224. 11 indexed citations
12.
Bhowmick, Tridib Kumar, Erik Berk, Xiumin Cui, Vladimir R. Muzykantov, & Silvia Muro. (2011). Effect of flow on endothelial endocytosis of nanocarriers targeted to ICAM-1. Journal of Controlled Release. 157(3). 485–492. 90 indexed citations
13.
Berk, Erik & Ravikumar Muthuswamy. (2011). Treg-mediated angiogenesis and tolerance is programmed by hypoxia in the tumor microenvironment.. PubMed. 3(12). 1429–1429. 1 indexed citations
14.
Watchmaker, Payal, Erik Berk, Ravikumar Muthuswamy, et al.. (2009). Independent Regulation of Chemokine Responsiveness and Cytolytic Function versus CD8+ T Cell Expansion by Dendritic Cells. The Journal of Immunology. 184(2). 591–597. 55 indexed citations
15.
Kaliński, Paweł, et al.. (2009). Dendritic Cell-Based Therapeutic Cancer Vaccines: What We Have and What We Need. Future Oncology. 5(3). 379–390. 55 indexed citations
16.
Watchmaker, Payal, Julie Urban, Erik Berk, et al.. (2008). Memory CD8+ T Cells Protect Dendritic Cells from CTL Killing. The Journal of Immunology. 180(6). 3857–3865. 34 indexed citations
17.
Muro, Silvia, Thomas D. Dziubla, John Leferovich, et al.. (2006). Endothelial Targeting of High-Affinity Multivalent Polymer Nanocarriers Directed to Intercellular Adhesion Molecule 1. Journal of Pharmacology and Experimental Therapeutics. 317(3). 1161–1169. 167 indexed citations
18.
Alves, Nuno L., Ingrid A. M. Derks, Erik Berk, et al.. (2006). The Noxa/Mcl-1 Axis Regulates Susceptibility to Apoptosis under Glucose Limitation in Dividing T Cells. Immunity. 24(6). 703–716. 155 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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