Bram Gerritsen

858 total citations
8 papers, 366 citations indexed

About

Bram Gerritsen is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Bram Gerritsen has authored 8 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 2 papers in Molecular Biology and 2 papers in Oncology. Recurrent topics in Bram Gerritsen's work include T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (5 papers) and CAR-T cell therapy research (2 papers). Bram Gerritsen is often cited by papers focused on T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (5 papers) and CAR-T cell therapy research (2 papers). Bram Gerritsen collaborates with scholars based in Netherlands, United States and United Kingdom. Bram Gerritsen's co-authors include Aridaman Pandit, Rob J. de Boer, Arno C. Andeweg, James E. McLaren, Kristin Ladell, David A. Price, Can Keşmir, Ole Lund, Morten Nielsen and Gwendolyn Swarbrick and has published in prestigious journals such as The Journal of Experimental Medicine, Bioinformatics and The Journal of Immunology.

In The Last Decade

Bram Gerritsen

8 papers receiving 364 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bram Gerritsen Netherlands	7	286	85	78	66	33	8	366
Elena Lorente Spain	12	177 0.6×	114 1.3×	56 0.7×	72 1.1×	39 1.2×	32	291
Deepyan Chatterjee India	9	273 1.0×	126 1.5×	68 0.9×	43 0.7×	44 1.3×	11	428
Elina Shrestha United States	5	569 2.0×	147 1.7×	76 1.0×	68 1.0×	44 1.3×	11	659
Anne‐Sophie Morel United Kingdom	7	307 1.1×	92 1.1×	48 0.6×	66 1.0×	38 1.2×	7	413
Darryl N. Johnson Australia	6	356 1.2×	52 0.6×	59 0.8×	56 0.8×	22 0.7×	8	417
Michael E. Wortzman Canada	10	330 1.2×	82 1.0×	76 1.0×	53 0.8×	49 1.5×	14	385
Andreas Palmborg Sweden	7	191 0.7×	96 1.1×	81 1.0×	34 0.5×	29 0.9×	12	260
Rachel Kelly Beach United States	8	321 1.1×	66 0.8×	117 1.5×	76 1.2×	38 1.2×	9	410
Daniel Shu United States	6	143 0.5×	84 1.0×	107 1.4×	98 1.5×	26 0.8×	15	319
Susan Strobl United States	11	294 1.0×	89 1.0×	132 1.7×	48 0.7×	27 0.8×	13	384

Countries citing papers authored by Bram Gerritsen

Since Specialization

Citations

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

Fields of papers citing papers by Bram Gerritsen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bram Gerritsen

This figure shows the co-authorship network connecting the top 25 collaborators of Bram Gerritsen. A scholar is included among the top collaborators of Bram Gerritsen 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 Bram Gerritsen. Bram Gerritsen 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:

8 of 8 papers shown

1.

Oakes, Theres, Bram Gerritsen, Mazlina Ismail, et al.. (2020). The naive T-cell receptor repertoire has an extremely broad distribution of clone sizes. eLife. 9. 51 indexed citations

2.

Zhao, Yujiao, Matthew Amodio, Brent Vander Wyk, et al.. (2020). Single cell immune profiling of dengue virus patients reveals intact immune responses to Zika virus with enrichment of innate immune signatures. PLoS neglected tropical diseases. 14(3). e0008112–e0008112. 13 indexed citations

3.

Gerritsen, Bram, Aridaman Pandit, Fatiha Zaaraoui‐Boutahar, et al.. (2019). Characterization of the ferret TRB locus guided by V, D, J, and C gene expression analysis. Immunogenetics. 72(1-2). 101–108. 6 indexed citations

4.

Gerritsen, Bram, Aridaman Pandit, Arno C. Andeweg, & Rob J. de Boer. (2016). RTCR: a pipeline for complete and accurate recovery of T cell repertoires from high throughput sequencing data. Bioinformatics. 32(20). 3098–3106. 44 indexed citations

5.

Kløverpris, Henrik N., Reuben McGregor, James E. McLaren, et al.. (2015). CD8+ TCR Bias and Immunodominance in HIV-1 Infection. The Journal of Immunology. 194(11). 5329–5345. 21 indexed citations

6.

Gerritsen, Bram & Aridaman Pandit. (2015). The memory of a killer T cell: models of CD8⁺ T cell differentiation. Immunology and Cell Biology. 94(3). 236–241. 41 indexed citations

7.

Possik, Patrícia A., Judith Müller, Carmen Gerlach, et al.. (2014). Parallel In Vivo and In Vitro Melanoma RNAi Dropout Screens Reveal Synthetic Lethality between Hypoxia and DNA Damage Response Inhibition. Cell Reports. 9(4). 1375–1386. 31 indexed citations

8.

Gold, Marielle C., James E. McLaren, Kristin Ladell, et al.. (2014). MR1-restricted MAIT cells display ligand discrimination and pathogen selectivity through distinct T cell receptor usage. The Journal of Experimental Medicine. 211(8). 1601–1610. 159 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.

Explore authors with similar magnitude of impact