Matthew Spindler

973 total citations
16 papers, 556 citations indexed

About

Matthew Spindler is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Matthew Spindler has authored 16 papers receiving a total of 556 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 7 papers in Oncology and 6 papers in Molecular Biology. Recurrent topics in Matthew Spindler's work include T-cell and B-cell Immunology (8 papers), CAR-T cell therapy research (7 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). Matthew Spindler is often cited by papers focused on T-cell and B-cell Immunology (8 papers), CAR-T cell therapy research (7 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). Matthew Spindler collaborates with scholars based in United States, United Kingdom and India. Matthew Spindler's co-authors include Bruce R. Conklin, Nathan Salomonis, David S. Johnson, Michael A. Asensio, Adam S. Adler, R. C. Edgar, William A. Weiss, Miller Huang, Alice Sheehan and Po-Lin So and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Biotechnology.

In The Last Decade

Matthew Spindler

16 papers receiving 525 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Matthew Spindler United States	10	370	114	103	75	54	16	556
Laure‐Hélène Ouisse France	13	258 0.7×	121 1.1×	80 0.8×	68 0.9×	119 2.2×	21	431
David A. Finney United States	13	279 0.8×	164 1.4×	82 0.8×	48 0.6×	21 0.4×	17	583
Chang Sik Cho South Korea	15	507 1.4×	47 0.4×	74 0.7×	46 0.6×	147 2.7×	26	739
Amir Ansari United States	10	216 0.6×	40 0.4×	18 0.2×	49 0.7×	73 1.4×	16	427
Shiqi Yang China	10	348 0.9×	68 0.6×	230 2.2×	28 0.4×	45 0.8×	23	670
John Kuchtey United States	15	267 0.7×	177 1.6×	145 1.4×	23 0.3×	79 1.5×	35	720
Rachel Rennard United States	12	284 0.8×	128 1.1×	115 1.1×	127 1.7×	69 1.3×	18	512
G Papsdorf Germany	8	311 0.8×	51 0.4×	45 0.4×	57 0.8×	48 0.9×	20	504
Anke H.M. van Vugt Netherlands	14	435 1.2×	76 0.7×	43 0.4×	33 0.4×	90 1.7×	18	674

Countries citing papers authored by Matthew Spindler

Since Specialization

Citations

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

Fields of papers citing papers by Matthew Spindler

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Spindler

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

All Works

Sort: Min cites: Since: Top N: Style:

16 of 16 papers shown

Tokach, Mike D, Jason C Woodworth, Joel M DeRouchey, et al.. (2023). Impact of dietary analyzed calcium to phosphorus ratios and standardized total tract digestible phosphorus to net energy ratios on growth performance, bone, and carcass characteristics of pigs. Journal of Animal Science. 101. 3 indexed citations

Heather, James, Matthew Spindler, David G. Millar, et al.. (2022). Stitchr: stitching coding TCR nucleotide sequences from V/J/CDR3 information. Nucleic Acids Research. 50(12). e68–e68. 18 indexed citations

Tokach, Mike D, Jason C Woodworth, Joel M DeRouchey, et al.. (2022). The Impact of Dietary Analyzed Calcium to Phosphorus Ratios and Standardized Total Tract Digestible Phosphorus to Net Energy Ratios on Growth Performance, Bone, and Carcass Characteristics of Pigs. Kansas Agricultural Experiment Station Research Reports. 8(10). 1 indexed citations

Spindler, Matthew, John S. Bridgeman, James Heather, et al.. (2020). Massively parallel interrogation and mining of natively paired human TCRαβ repertoires. Nature Biotechnology. 38(5). 609–619. 37 indexed citations

Spindler, Matthew, et al.. (2020). High-throughput screening for rare antigen-reactive TCRs using natively-paired TCRαβ expression libraries generated from millions diverse primary T cells. The Journal of Immunology. 204(1_Supplement). 243.23–243.23. 1 indexed citations

Heather, James, Matthew Spindler, Mark Cobbold, et al.. (2020). Anaplastic lymphoma kinase fusions as a target for TCR-directed cellular therapies. The Journal of Immunology. 204(1_Supplement). 239.10–239.10. 2 indexed citations

Asensio, Michael A., Yoong Wearn Lim, Nicholas Wayham, et al.. (2019). Antibody repertoire analysis of mouse immunization protocols using microfluidics and molecular genomics. mAbs. 11(5). 870–883. 25 indexed citations

Asensio, Michael A., R. C. Edgar, Yoong Wearn Lim, et al.. (2019). Preferential Identification of Agonistic OX40 Antibodies by Using Cell Lysate to Pan Natively Paired, Humanized Mouse-Derived Yeast Surface Display Libraries. Antibodies. 8(1). 17–17. 6 indexed citations

Adler, Adam S., Daniel Bedinger, Matthew S. Adams, et al.. (2018). A natively paired antibody library yields drug leads with higher sensitivity and specificity than a randomly paired antibody library. mAbs. 10(3). 431–443. 24 indexed citations

10.

Adler, Adam S., Matthew Spindler, Matthew S. Adams, et al.. (2017). Rare, high-affinity anti-pathogen antibodies from human repertoires, discovered using microfluidics and molecular genomics. mAbs. 9(8). 1282–1296. 31 indexed citations

11.

Adler, Adam S., Matthew Spindler, Matthew S. Adams, et al.. (2017). Rare, high-affinity mouse anti-PD-1 antibodies that function in checkpoint blockade, discovered using microfluidics and molecular genomics. mAbs. 9(8). 1270–1281. 31 indexed citations

12.

Wong, Jenise C., Aaron Neinstein, Matthew Spindler, & Saleh Adi. (2015). A Minority of Patients with Type 1 Diabetes Routinely Downloads and Retrospectively Reviews Device Data. Diabetes Technology & Therapeutics. 17(8). 555–562. 45 indexed citations

13.

Ji, Xuhuai, Shu‐Chen Lyu, Matthew Spindler, et al.. (2015). Deep profiling of single T cell receptor repertoire and phenotype with targeted RNA-seq (TECH2P.927). The Journal of Immunology. 194(1_Supplement). 206.37–206.37. 2 indexed citations

14.

Taglieri, Domenico M., Michelle M. Monasky, Matthew Spindler, et al.. (2013). The C-terminus of the long AKAP13 isoform (AKAP-Lbc) is critical for development of compensatory cardiac hypertrophy. Journal of Molecular and Cellular Cardiology. 66. 27–40. 32 indexed citations

15.

Salomonis, Nathan, Alice Sheehan, Miller Huang, et al.. (2013). A robust method to derive functional neural crest cells from human pluripotent stem cells.. PubMed. 2(2). 119–31. 123 indexed citations

16.

Salomonis, Nathan, Christopher R. Schlieve, Laura Pereira, et al.. (2010). Alternative splicing regulates mouse embryonic stem cell pluripotency and differentiation. Proceedings of the National Academy of Sciences. 107(23). 10514–10519. 175 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.

Explore authors with similar magnitude of impact