Ruud Ruiter

538 total citations
8 papers, 223 citations indexed

About

Ruud Ruiter is a scholar working on Oncology, Molecular Biology and Hematology. According to data from OpenAlex, Ruud Ruiter has authored 8 papers receiving a total of 223 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 4 papers in Molecular Biology and 4 papers in Hematology. Recurrent topics in Ruud Ruiter's work include Multiple Myeloma Research and Treatments (4 papers), CAR-T cell therapy research (3 papers) and Nanowire Synthesis and Applications (2 papers). Ruud Ruiter is often cited by papers focused on Multiple Myeloma Research and Treatments (4 papers), CAR-T cell therapy research (3 papers) and Nanowire Synthesis and Applications (2 papers). Ruud Ruiter collaborates with scholars based in Netherlands, India and Germany. Ruud Ruiter's co-authors include Richard W.J. Groen, Tuna Mutis, Niels W.C.J. van de Donk, Sonja Zweegman, Joost D. de Bruijn, Huipin Yuan, Renée Poels, Maria Themeli, Michel Sadelain and Esther Drent and has published in prestigious journals such as Clinical Cancer Research, Journal of Controlled Release and Biomolecules.

In The Last Decade

Ruud Ruiter

7 papers receiving 219 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ruud Ruiter Netherlands	6	169	83	71	63	41	8	223
Atharva Karulkar India	7	151 0.9×	72 0.9×	72 1.0×	56 0.9×	51 1.2×	12	221
Haolong Lin China	6	224 1.3×	95 1.1×	95 1.3×	61 1.0×	65 1.6×	12	270
Tommaso Sconocchia Austria	10	116 0.7×	86 1.0×	91 1.3×	43 0.7×	22 0.5×	20	252
Nils Wellhausen United States	7	213 1.3×	117 1.4×	87 1.2×	50 0.8×	76 1.9×	14	273
Christian Flugel Germany	3	292 1.7×	108 1.3×	126 1.8×	115 1.8×	69 1.7×	4	341
Hossein Saeedi Iran	10	117 0.7×	146 1.8×	88 1.2×	29 0.5×	33 0.8×	20	320
Mi Shao China	7	162 1.0×	74 0.9×	92 1.3×	59 0.9×	43 1.0×	16	242
Sagar L. Patil United States	6	140 0.8×	103 1.2×	60 0.8×	36 0.6×	42 1.0×	8	207
Keyvan Fallah-Mehrjardi Iran	8	240 1.4×	142 1.7×	121 1.7×	69 1.1×	79 1.9×	10	329
Audrey Fung United States	3	232 1.4×	79 1.0×	91 1.3×	78 1.2×	50 1.2×	3	276

Countries citing papers authored by Ruud Ruiter

Since Specialization

Citations

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

Fields of papers citing papers by Ruud Ruiter

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruud Ruiter

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

All Works

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8 of 8 papers shown

1.

Wang, Jiaxian, Ricardo De Matos Simoes, Ruud Ruiter, et al.. (2025). Humanized Bone Model Identifies BMP6 as a Multifunctional Regulator in Myeloma Bone Disease. Biomolecules. 15(12). 1747–1747.

2.

Newcomb, John, Ruud Ruiter, Eric Poma, et al.. (2024). Preclinical evaluation of the CD38‐targeting engineered toxin body MT‐0169 against multiple myeloma. HemaSphere. 8(11). e70039–e70039. 1 indexed citations

3.

Arkel, Jennemiek van, Afroditi Katsarou, Ruud Ruiter, et al.. (2023). Specific Targeting of Multiple Myeloma by Dual Split-signaling Chimeric Antigen Receptor T cells Directed against CD38 and CD138. Clinical Cancer Research. 29(20). 4219–4229. 10 indexed citations

4.

Stikvoort, Arwen, Subhashis Sarkar, Renée Poels, et al.. (2021). CD38-specific Chimeric Antigen Receptor Expressing Natural Killer KHYG-1 Cells: A Proof of Concept for an “Off the Shelf” Therapy for Multiple Myeloma. HemaSphere. 5(7). e596–e596. 21 indexed citations

5.

Varela-Moreira, Aida, Demian van Straten, Ruud Ruiter, et al.. (2020). Polymeric micelles loaded with carfilzomib increase tolerability in a humanized bone marrow-like scaffold mouse model. International Journal of Pharmaceutics X. 2. 100049–100049. 15 indexed citations

6.

Fens, Marcel H.A.M., Ruud Ruiter, Josbert M. Metselaar, et al.. (2020). Complete Tumor Regression by Liposomal Bortezomib in a Humanized Mouse Model of Multiple Myeloma. HemaSphere. 4(5). e463–e463. 8 indexed citations

7.

Drent, Esther, Renée Poels, Ruud Ruiter, et al.. (2019). Combined CD28 and 4-1BB Costimulation Potentiates Affinity-tuned Chimeric Antigen Receptor–engineered T Cells. Clinical Cancer Research. 25(13). 4014–4025. 135 indexed citations

8.

Fens, Marcel H.A.M., Ruud Ruiter, Josbert M. Metselaar, et al.. (2019). Liposomal dexamethasone inhibits tumor growth in an advanced human-mouse hybrid model of multiple myeloma. Journal of Controlled Release. 296. 232–240. 33 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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