Krystle Veerman

689 total citations · 1 hit paper
6 papers, 493 citations indexed

About

Krystle Veerman is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Krystle Veerman has authored 6 papers receiving a total of 493 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 4 papers in Oncology and 3 papers in Molecular Biology. Recurrent topics in Krystle Veerman's work include Cell Adhesion Molecules Research (3 papers), Chemokine receptors and signaling (3 papers) and Immune cells in cancer (3 papers). Krystle Veerman is often cited by papers focused on Cell Adhesion Molecules Research (3 papers), Chemokine receptors and signaling (3 papers) and Immune cells in cancer (3 papers). Krystle Veerman collaborates with scholars based in Canada, France and India. Krystle Veerman's co-authors include Hermann J. Ziltener, Douglas A. Carlow, Silvia Naus, Frédéric Martins, Jean‐Philippe Girard, Wooseok Seo, Klaus Gossens, Elisabeth Bellard, Nathalie Ortéga and Kenji Uchimura and has published in prestigious journals such as Nature Immunology, The Journal of Immunology and Cancer Cell.

In The Last Decade

Krystle Veerman

6 papers receiving 487 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.

Tumor-associated high endothelial venules mediate lymphocyte entry into tumors and predict response to PD-1 plus CTLA-4 combination immunotherapy

2022 162 citations Lucas Blanchard, Elisabeth Bellard et al. Cancer Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Krystle Veerman Canada	6	330	196	176	88	38	6	493
Hannelien Verbeke Belgium	9	188 0.6×	234 1.2×	126 0.7×	47 0.5×	62 1.6×	9	424
Bjoern Schuster Czechia	4	206 0.6×	185 0.9×	75 0.4×	55 0.6×	32 0.8×	9	379
Jens Grosse Germany	11	255 0.8×	218 1.1×	139 0.8×	36 0.4×	47 1.2×	19	443
Silvia Danielian Argentina	11	309 0.9×	79 0.4×	159 0.9×	68 0.8×	23 0.6×	24	498
Kerstin Schlüter Germany	9	109 0.3×	267 1.4×	191 1.1×	120 1.4×	86 2.3×	9	505
Tammy P. Cheng United States	12	284 0.9×	111 0.6×	135 0.8×	39 0.4×	36 0.9×	12	521
Erick Jacobson‐Dunlop United States	5	163 0.5×	382 1.9×	260 1.5×	40 0.5×	52 1.4×	12	558
Elena Caveggion Italy	8	239 0.7×	63 0.3×	166 0.9×	192 2.2×	41 1.1×	10	444
Kamalakannan Rajasekaran United States	13	375 1.1×	192 1.0×	172 1.0×	17 0.2×	43 1.1×	15	584
Tomohiro Kodama Japan	7	456 1.4×	228 1.2×	142 0.8×	26 0.3×	53 1.4×	11	631

Countries citing papers authored by Krystle Veerman

Since Specialization

Citations

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

Fields of papers citing papers by Krystle Veerman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Krystle Veerman

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

All Works

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6 of 6 papers shown

1.

Blanchard, Lucas, Elisabeth Bellard, Krystle Veerman, et al.. (2022). Tumor-associated high endothelial venules mediate lymphocyte entry into tumors and predict response to PD-1 plus CTLA-4 combination immunotherapy. Cancer Cell. 40(3). 318–334.e9. 162 indexed citations breakdown →

2.

Blanchard, Lucas, S. Bettini, Krystle Veerman, et al.. (2022). Flow cytometry analysis of endothelial cells and subsets of exhausted CD8+ T cells in murine tumor models. STAR Protocols. 3(2). 101444–101444. 5 indexed citations

3.

Veerman, Krystle, et al.. (2019). Single-Cell Analysis Reveals Heterogeneity of High Endothelial Venules and Different Regulation of Genes Controlling Lymphocyte Entry to Lymph Nodes. Cell Reports. 26(11). 3116–3131.e5. 78 indexed citations

4.

Veerman, Krystle, Douglas A. Carlow, Iryna Shanina, et al.. (2012). PSGL-1 Regulates the Migration and Proliferation of CD8+ T Cells under Homeostatic Conditions. The Journal of Immunology. 188(4). 1638–1646. 20 indexed citations

5.

Carlow, Douglas A., Klaus Gossens, Silvia Naus, et al.. (2009). PSGL‐1 function in immunity and steady state homeostasis. Immunological Reviews. 230(1). 75–96. 133 indexed citations

6.

Veerman, Krystle, Michael Williams, Kenji Uchimura, et al.. (2007). Interaction of the selectin ligand PSGL-1 with chemokines CCL21 and CCL19 facilitates efficient homing of T cells to secondary lymphoid organs. Nature Immunology. 8(5). 532–539. 95 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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