David Stroncek

565 total citations
11 papers, 263 citations indexed

About

David Stroncek is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, David Stroncek has authored 11 papers receiving a total of 263 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Oncology and 2 papers in Immunology. Recurrent topics in David Stroncek's work include CAR-T cell therapy research (3 papers), Immunotherapy and Immune Responses (2 papers) and Adenosine and Purinergic Signaling (1 paper). David Stroncek is often cited by papers focused on CAR-T cell therapy research (3 papers), Immunotherapy and Immune Responses (2 papers) and Adenosine and Purinergic Signaling (1 paper). David Stroncek collaborates with scholars based in United States, Germany and United Kingdom. David Stroncek's co-authors include Dean Follmann, Susan F. Leitman, Thomas H. Shawker, Monica C. Panelli, Silvia Selleri, Dragan Maric, Harvey G. Klein, Natalia I. Dmitrieva, Francesco M. Marincola and Sara Deola and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and The Journal of Immunology.

In The Last Decade

David Stroncek

10 papers receiving 259 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David Stroncek United States	4	99	87	83	59	56	11	263
Zhongxing Jiang China	13	113 1.1×	164 1.9×	118 1.4×	81 1.4×	56 1.0×	28	364
Juan Esteban García-Robledo United States	9	77 0.8×	68 0.8×	102 1.2×	64 1.1×	42 0.8×	33	266
Diego Quinones Raffo United States	9	125 1.3×	83 1.0×	44 0.5×	152 2.6×	72 1.3×	17	304
Simanta Pathak United States	9	210 2.1×	121 1.4×	86 1.0×	62 1.1×	29 0.5×	12	371
Carol Ward United Kingdom	8	51 0.5×	52 0.6×	110 1.3×	40 0.7×	71 1.3×	13	259
Vitina Grieco Italy	12	55 0.6×	216 2.5×	101 1.2×	135 2.3×	93 1.7×	21	389
Hao Wei Li United States	8	241 2.4×	69 0.8×	79 1.0×	166 2.8×	67 1.2×	15	399
Elsa Poullot France	9	73 0.7×	48 0.6×	87 1.0×	29 0.5×	51 0.9×	27	231
TRDJ Radstake Netherlands	10	97 1.0×	43 0.5×	52 0.6×	47 0.8×	35 0.6×	20	268
Michelle Ki United States	5	46 0.5×	139 1.6×	65 0.8×	24 0.4×	34 0.6×	8	347

Countries citing papers authored by David Stroncek

Since Specialization

Citations

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

Fields of papers citing papers by David Stroncek

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Stroncek

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

All Works

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11 of 11 papers shown

1.

Song, Hannah, Lipei Shao, Michaela Procházková, et al.. (2021). 145 Comparison of CAR-T cell manufacturing platforms reveals distinct phenotypic and transcriptional profiles. SHILAP Revista de lepidopterología. A153–A153. 2 indexed citations

2.

Fontaine, Magali J., David Stroncek, David H. McKenna, et al.. (2020). Variations in novel cellular therapy products manufacturing. Cytotherapy. 22(6). 337–342. 5 indexed citations

3.

Shah, Nirali N., Haneen Shalabi, Bonnie Yates, et al.. (2019). Abstract LB-146: Phase I CD22 CAR T-cell trial updates. Cancer Research. 79(13_Supplement). LB–146. 3 indexed citations

4.

Amarnath, Shoba, Jason Foley, Don Farthing, et al.. (2014). Bone Marrow-Derived Mesenchymal Stromal Cells Harness Purinergenic Signaling to Tolerize Human Th1 Cells In Vivo. Stem Cells. 33(4). 1200–1212. 104 indexed citations

5.

Tomei, Sara, Davide Bedognetti, Valeria De Giorgi, et al.. (2014). The Immune-related Role Of Braf In Melanoma. 1 indexed citations

6.

Stroncek, David. (2009). TRALI Pathophysiology.. Blood. 114(22). SCI–48. 2 indexed citations

7.

Noh, Seung-Jae, S. L. Miller, Y. Terry Lee, et al.. (2008). Fetal-to-Adult Hemoglobin Switching Is Associated with up-Regulation of Specific MicroRNA Species in Circulating Human Erythroid Cells.. Blood. 112(11). 1865–1865. 1 indexed citations

8.

Deola, Sara, Monica C. Panelli, Dragan Maric, et al.. (2008). Helper B Cells Promote Cytotoxic T Cell Survival and Proliferation Independently of Antigen Presentation through CD27/CD70 Interactions. The Journal of Immunology. 180(3). 1362–1372. 66 indexed citations

9.

Adams, Sharon, et al.. (2005). PCR validation testing utilizing a novel dynamic measurement system. Human Immunology. 66(8). 74–74. 1 indexed citations

10.

Stroncek, David, Thomas H. Shawker, Dean Follmann, & Susan F. Leitman. (2003). G‐CSF‐induced spleen size changes in peripheral blood progenitor cell donors. Transfusion. 43(5). 609–613. 78 indexed citations

11.

Adams, Sharon, et al.. (2003). An alternative PCR-based method for monitoring thermal cycler performance. Human Immunology. 64(10). S177–S177.

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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