Karolin Guldevall

845 total citations
17 papers, 644 citations indexed

About

Karolin Guldevall is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Karolin Guldevall has authored 17 papers receiving a total of 644 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Immunology, 7 papers in Oncology and 3 papers in Molecular Biology. Recurrent topics in Karolin Guldevall's work include Immune Cell Function and Interaction (12 papers), T-cell and B-cell Immunology (9 papers) and CAR-T cell therapy research (7 papers). Karolin Guldevall is often cited by papers focused on Immune Cell Function and Interaction (12 papers), T-cell and B-cell Immunology (9 papers) and CAR-T cell therapy research (7 papers). Karolin Guldevall collaborates with scholars based in Sweden, United States and United Kingdom. Karolin Guldevall's co-authors include Björn Önfelt, Bruno Vanherberghen, Per Olofsson, Elin Forslund, Thomas Frisk, Mohammad Ali Khorshidi, Daniel M. Davis, Mezida B. Saeed, Adam N.R. Cartwright and Ashley Ambrose and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Cell Biology and Blood.

In The Last Decade

Karolin Guldevall

16 papers receiving 637 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Karolin Guldevall Sweden	11	461	276	117	105	51	17	644
Diana V. Yuzhakova Russia	10	288 0.6×	278 1.0×	103 0.9×	129 1.2×	47 0.9×	28	588
Thomas J. Fountaine United States	10	193 0.4×	596 2.2×	202 1.7×	240 2.3×	39 0.8×	22	848
Chong Wu China	9	360 0.8×	210 0.8×	68 0.6×	105 1.0×	12 0.2×	22	573
Irena Moserová Czechia	10	339 0.7×	209 0.8×	126 1.1×	182 1.7×	36 0.7×	13	640
Philippos Demetriou United Kingdom	6	163 0.4×	116 0.4×	121 1.0×	102 1.0×	19 0.4×	6	371
Clay Lyddane United States	7	455 1.0×	626 2.3×	139 1.2×	307 2.9×	47 0.9×	7	909
Jonas R.M. Van Audenaerde Belgium	15	273 0.6×	365 1.3×	78 0.7×	158 1.5×	132 2.6×	24	722
Eva Oswald Germany	12	187 0.4×	110 0.4×	62 0.5×	74 0.7×	18 0.4×	39	493
Stefania Forti Italy	9	85 0.2×	139 0.5×	73 0.6×	232 2.2×	56 1.1×	10	523
Nuno Neto Ireland	11	110 0.2×	53 0.2×	70 0.6×	134 1.3×	22 0.4×	23	389

Countries citing papers authored by Karolin Guldevall

Since Specialization

Citations

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

Fields of papers citing papers by Karolin Guldevall

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karolin Guldevall

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

All Works

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17 of 17 papers shown

Guldevall, Karolin, Patrick A. Sandoz, Valentina Carannante, et al.. (2025). CD16A Shedding Regulates Innate Cell Engager‐Induced Serial Killing by Natural Killer Cells. European Journal of Immunology. 55(10). e70078–e70078.

Guldevall, Karolin, Susanne Wingert, Sheena Pinto, et al.. (2023). Abstract 2950: CD16A shedding facilitates repetitive targeting of tumor cells by AFM13-armed NK cells. Cancer Research. 83(7_Supplement). 2950–2950. 1 indexed citations

Sandström, Niklas, et al.. (2022). Live single cell imaging assays in glass microwells produced by laser-induced deep etching. Lab on a Chip. 22(11). 2107–2121. 8 indexed citations

Guldevall, Karolin, Paul K.J.D. de Jonge, Janneke S. Hoogstad‐van Evert, et al.. (2020). IL-15 superagonist N-803 improves IFNγ production and killing of leukemia and ovarian cancer cells by CD34+ progenitor-derived NK cells. Cancer Immunology Immunotherapy. 70(5). 1305–1321. 33 indexed citations

Walwyn-Brown, Katherine, Karolin Guldevall, Mezida B. Saeed, et al.. (2018). Human NK Cells Lyse Th2-Polarizing Dendritic Cells via NKp30 and DNAM-1. The Journal of Immunology. 201(7). 2028–2041. 18 indexed citations

Srpan, Katja, Ashley Ambrose, Mezida B. Saeed, et al.. (2018). Shedding of CD16 disassembles the NK cell immune synapse and boosts serial engagement of target cells. The Journal of Cell Biology. 217(9). 3267–3283. 113 indexed citations

Sarhan, Dhifaf, Martin Felices, Karolin Guldevall, et al.. (2018). 161533 TriKE stimulates NK-cell function to overcome myeloid-derived suppressor cells in MDS. Blood Advances. 2(12). 1459–1469. 95 indexed citations

Guldevall, Karolin, Elin Forslund, Karl Olofsson, et al.. (2016). Microchip Screening Platform for Single Cell Assessment of NK Cell Cytotoxicity. Frontiers in Immunology. 7. 119–119. 45 indexed citations

Vanherberghen, Bruno, Thomas Frisk, Elin Forslund, et al.. (2016). Microwell-Based Live Cell Imaging of NK Cell Dynamics to Assess Heterogeneity in Motility and Cytotoxic Response. Methods in molecular biology. 1441. 87–106. 3 indexed citations

10.

Felices, Martin, Dhifaf Sarhan, Karolin Guldevall, et al.. (2016). CD16-IL15-CD33 Trispecific Killer Engager (TriKE) Overcomes Cancer-Induced Immune Suppression and Induces Natural Killer Cell-Mediated Control of MDS and AML Via Enhanced Killing Kinetics. Blood. 128(22). 4291–4291. 8 indexed citations

11.

Vanherberghen, Bruno, Per Olofsson, Elin Forslund, et al.. (2013). Classification of human natural killer cells based on migration behavior and cytotoxic response. Blood. 121(8). 1326–1334. 144 indexed citations

12.

Ekstrand‐Hammarström, Barbro, Karolin Guldevall, Robert Pązik, et al.. (2012). Visualization of custom-tailored iron oxide nanoparticles chemistry, uptake, and toxicity. Nanoscale. 4(23). 7383–7383. 36 indexed citations

13.

Forslund, Elin, Karolin Guldevall, Per Olofsson, et al.. (2012). Novel Microchip-Based Tools Facilitating Live Cell Imaging and Assessment of Functional Heterogeneity within NK Cell Populations. Frontiers in Immunology. 3. 300–300. 30 indexed citations

14.

Frisk, Thomas, Mohammad Ali Khorshidi, Karolin Guldevall, Bruno Vanherberghen, & Björn Önfelt. (2011). A silicon-glass microwell platform for high-resolution imaging and high-content screening with single cell resolution. Biomedical Microdevices. 13(4). 683–693. 28 indexed citations

15.

Guldevall, Karolin, Bruno Vanherberghen, Thomas Frisk, et al.. (2010). Imaging Immune Surveillance of Individual Natural Killer Cells Confined in Microwell Arrays. PLoS ONE. 5(11). e15453–e15453. 59 indexed citations

16.

Guldevall, Karolin, Thomas Frisk, Bruno Vanherberghen, et al.. (2010). Imaging immune surveillance by individual Natural Killer cells isolated in arrays of nanoliter wells. 2 indexed citations

17.

Antonson, Per, Tomas Jakobsson, Tova Almlöf, et al.. (2008). RAP250 Is a Coactivator in the Transforming Growth Factor β Signaling Pathway That Interacts with Smad2 and Smad3. Journal of Biological Chemistry. 283(14). 8995–9001. 21 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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