Pierre Dillard

731 total citations
20 papers, 532 citations indexed

About

Pierre Dillard is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Pierre Dillard has authored 20 papers receiving a total of 532 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Oncology, 12 papers in Immunology and 5 papers in Molecular Biology. Recurrent topics in Pierre Dillard's work include CAR-T cell therapy research (12 papers), Immunotherapy and Immune Responses (7 papers) and Immune Cell Function and Interaction (5 papers). Pierre Dillard is often cited by papers focused on CAR-T cell therapy research (12 papers), Immunotherapy and Immune Responses (7 papers) and Immune Cell Function and Interaction (5 papers). Pierre Dillard collaborates with scholars based in Norway, France and United States. Pierre Dillard's co-authors include Sébastien Wälchli, Else Marit Inderberg, Laurent Limozin, Kheya Sengupta, Theodossis A. Theodossiou, Gunnar Kvalheim, Marit Renée Myhre, June H. Myklebust, Gustav Gaudernack and Astrid Wahl and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nano Letters.

In The Last Decade

Pierre Dillard

19 papers receiving 526 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Pierre Dillard Norway	13	222	187	153	127	67	20	532
Yu Xi China	15	212 1.0×	122 0.7×	371 2.4×	89 0.7×	86 1.3×	27	1.0k
David Shorthouse United Kingdom	13	153 0.7×	103 0.6×	480 3.1×	57 0.4×	73 1.1×	30	731
Aneta Gandalovičová Czechia	7	210 0.9×	49 0.3×	295 1.9×	87 0.7×	176 2.6×	9	619
Masayuki Kohno Japan	17	185 0.8×	208 1.1×	436 2.8×	89 0.7×	38 0.6×	36	843
Anna Morath Germany	9	157 0.7×	264 1.4×	150 1.0×	34 0.3×	21 0.3×	10	463
Yapeng Su United States	15	178 0.8×	188 1.0×	513 3.4×	228 1.8×	31 0.5×	29	933
Joël S. Bloch Switzerland	11	184 0.8×	104 0.6×	307 2.0×	32 0.3×	41 0.6×	18	531
Zhou Yuan United States	8	75 0.3×	120 0.6×	111 0.7×	37 0.3×	64 1.0×	18	315
Viatcheslav A. Soldatenkov United States	17	402 1.8×	160 0.9×	702 4.6×	55 0.4×	51 0.8×	22	1.0k

Countries citing papers authored by Pierre Dillard

Since Specialization

Citations

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

Fields of papers citing papers by Pierre Dillard

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pierre Dillard

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

All Works

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20 of 20 papers shown

Sengupta, Kheya, Pierre Dillard, & Laurent Limozin. (2024). Morphodynamics of T-lymphocytes: Scanning to spreading. Biophysical Journal. 123(15). 2224–2233.

Graczyk‐Jarzynka, Agnieszka, Klaudyna Fidyt, Hakan Köksal, et al.. (2023). Efficient chimeric antigen receptor targeting of a central epitope of CD22. Journal of Biological Chemistry. 299(7). 104883–104883. 3 indexed citations

Mensali, Nadia, Pierre Dillard, Hakan Köksal, et al.. (2021). “Built‐in” PD‐1 blocker to rescue NK‐92 activity from PD‐L1–mediated tumor escape mechanisms. The FASEB Journal. 35(9). e21750–e21750. 8 indexed citations

Dillard, Pierre, Sylvie Pollmann, Gustav Gaudernack, et al.. (2021). Targeting KRAS mutations with HLA class II-restricted TCRs for the treatment of solid tumors. OncoImmunology. 10(1). 1936757–1936757. 15 indexed citations

Dillard, Pierre, et al.. (2020). Colorectal cysts as a validating tool for CAR therapy. BMC Biotechnology. 20(1). 30–30. 3 indexed citations

Dillard, Pierre, Hakan Köksal, Sólrún Melkorka Maggadóttir, et al.. (2020). Targeting Telomerase with an HLA Class II-Restricted TCR for Cancer Immunotherapy. Molecular Therapy. 29(3). 1199–1213. 21 indexed citations

Köksal, Hakan, Pierre Dillard, Asta Juzeniene, et al.. (2020). Combinatorial CAR design improves target restriction. Journal of Biological Chemistry. 296. 100116–100116. 6 indexed citations

Mensali, Nadia, Amalie Grenov, Niladri Bhusan Pati, et al.. (2019). Antigen-delivery through invariant chain (CD74) boosts CD8 and CD4 T cell immunity. OncoImmunology. 8(3). 1558663–1558663. 22 indexed citations

Köksal, Hakan, Pierre Dillard, Sólrún Melkorka Maggadóttir, et al.. (2019). Preclinical development of CD37CAR T-cell therapy for treatment of B-cell lymphoma. Blood Advances. 3(8). 1230–1243. 39 indexed citations

10.

Theodossiou, Theodossis A., Muhammad Ali, Mantas Grigalavicius, et al.. (2019). Simultaneous defeat of MCF7 and MDA-MB-231 resistances by a hypericin PDT–tamoxifen hybrid therapy. npj Breast Cancer. 5(1). 13–13. 108 indexed citations

11.

Mensali, Nadia, Pierre Dillard, Michaël Hebeisen, et al.. (2019). NK cells specifically TCR-dressed to kill cancer cells. EBioMedicine. 40. 106–117. 64 indexed citations

12.

Wahl, Astrid, et al.. (2019). Biphasic mechanosensitivity of T cell receptor-mediated spreading of lymphocytes. Proceedings of the National Academy of Sciences. 116(13). 5908–5913. 69 indexed citations

13.

Dillard, Pierre, et al.. (2018). A Spheroid Killing Assay by CAR T Cells. Journal of Visualized Experiments. 17 indexed citations

14.

Våtsveen, Thea Kristin, Marit Renée Myhre, Chloé B. Steen, et al.. (2018). Artesunate shows potent anti-tumor activity in B-cell lymphoma. Journal of Hematology & Oncology. 11(1). 23–23. 72 indexed citations

15.

Dillard, Pierre, et al.. (2018). A Spheroid Killing Assay by CAR T Cells. Journal of Visualized Experiments. 4 indexed citations

16.

Dillard, Pierre, Fuwei Pi, Annemarie C. Lellouch, Laurent Limozin, & Kheya Sengupta. (2016). Nano-clustering of ligands on surrogate antigen presenting cells modulates T cell membrane adhesion and organization. Integrative Biology. 8(3). 287–301. 12 indexed citations

17.

Pi, Fuwei, Pierre Dillard, Astrid Wahl, et al.. (2015). Size-Tunable Organic Nanodot Arrays: A Versatile Platform for Manipulating and Imaging Cells. Nano Letters. 15(8). 5178–5184. 16 indexed citations

18.

Dillard, Pierre, Rajat Varma, Kheya Sengupta, & Laurent Limozin. (2014). Ligand-Mediated Friction Determines Morphodynamics of Spreading T Cells. Biophysical Journal. 107(11). 2629–2638. 32 indexed citations

19.

Pi, Fuwei, Pierre Dillard, Laurent Limozin, Anne Charrier, & Kheya Sengupta. (2013). Nanometric Protein-Patch Arrays on Glass and Polydimethylsiloxane for Cell Adhesion Studies. Nano Letters. 13(7). 3372–3378. 20 indexed citations

20.

Zoldhelyi, Pierre, J McNatt, Harnath Shelat, et al.. (1998). Adenovirus-mediated gene transfer of recombinant tissue factor pathway inhibitor in vitro and in vivo. Journal of the American College of Cardiology. 31. 145–145. 1 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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