Matthew Theisen

692 total citations
9 papers, 313 citations indexed

About

Matthew Theisen is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Matthew Theisen has authored 9 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Genetics and 3 papers in Oncology. Recurrent topics in Matthew Theisen's work include Chronic Lymphocytic Leukemia Research (2 papers), Acute Myeloid Leukemia Research (1 paper) and HIV Research and Treatment (1 paper). Matthew Theisen is often cited by papers focused on Chronic Lymphocytic Leukemia Research (2 papers), Acute Myeloid Leukemia Research (1 paper) and HIV Research and Treatment (1 paper). Matthew Theisen collaborates with scholars based in United States and Sri Lanka. Matthew Theisen's co-authors include Elisabeth Narayanan, Sunny Himansu, Sayda M. Elbashir, Rashika N. Tennekoon, Michael Diamond, Robin Bombardi, Julie M. Fox, Aruna Dharshan De Silva, James E. Crowe and Gopal Sapparapu and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Cancer Cell.

In The Last Decade

Matthew Theisen

8 papers receiving 302 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Matthew Theisen United States	6	189	92	70	45	44	9	313
Shilpa Sanapala United States	10	120 0.6×	38 0.4×	80 1.1×	91 2.0×	41 0.9×	13	319
Jason Debasitis United States	3	286 1.5×	82 0.9×	89 1.3×	110 2.4×	125 2.8×	3	458
Maria Virgilio United States	8	223 1.2×	67 0.7×	15 0.2×	74 1.6×	17 0.4×	14	374
Megan L. Schultz United States	9	298 1.6×	69 0.8×	31 0.4×	105 2.3×	30 0.7×	13	477
Jack M. Su United States	10	227 1.2×	41 0.4×	193 2.8×	35 0.8×	162 3.7×	17	504
Sergey Guryanov Russia	9	491 2.6×	47 0.5×	18 0.3×	80 1.8×	72 1.6×	11	637
J M Liu United States	6	237 1.3×	224 2.4×	22 0.3×	34 0.8×	53 1.2×	7	499
Christopher R. Clouser United States	9	269 1.4×	39 0.4×	29 0.4×	131 2.9×	136 3.1×	12	529
Delphine Nicolle France	8	151 0.8×	66 0.7×	19 0.3×	83 1.8×	47 1.1×	11	331
Sergey I. Bayborodin Russia	12	235 1.2×	28 0.3×	17 0.2×	60 1.3×	90 2.0×	23	374

Countries citing papers authored by Matthew Theisen

Since Specialization

Citations

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

Fields of papers citing papers by Matthew Theisen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Theisen

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Theisen. A scholar is included among the top collaborators of Matthew Theisen 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 Theisen. Matthew Theisen 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:

9 of 9 papers shown

1.

Soto, David, Juliet Crabtree, Thomas Lee, et al.. (2025). In Vivo pan CAR therapy utilizing circular RNA for treatment of autoimmune diseases. Blood. 146(Supplement 1). 104–104.

2.

Kose, Nurgun, Julie M. Fox, Gopal Sapparapu, et al.. (2019). A lipid-encapsulated mRNA encoding a potently neutralizing human monoclonal antibody protects against chikungunya infection. Science Immunology. 4(35). 155 indexed citations

3.

Theisen, Matthew, Zhongmin Xiang, Stephen Tirrell, et al.. (2018). Abstract 3844: TAK-659, a SYK kinase inhibitor, demonstrates preclinical antitumor activity in solid tumor models. Cancer Research. 78(13_Supplement). 3844–3844. 1 indexed citations

4.

Theisen, Matthew, et al.. (2017). Distinct cis-acting regions control six6 expression during eye field and optic cup stages of eye formation. Developmental Biology. 426(2). 418–428. 12 indexed citations

5.

Yu, Jie, Jessica J. Huck, Matthew Theisen, et al.. (2016). Anti-tumor activity of TAK-659, a dual inhibitor of SYK and FLT-3 kinases, in AML models.. Journal of Clinical Oncology. 34(15_suppl). e14091–e14091. 6 indexed citations

6.

He, Helen, Zhongmin Xiang, Lunyin Yu, et al.. (2016). A Sensitive IHC Method for Monitoring Autophagy-Specific Markers in Human Tumor Xenografts. PubMed. 2016. 1–11. 7 indexed citations

7.

Huck, Jessica J., Rachael Brake, Helen He, et al.. (2014). Antitumor activity of inhibiting SYK kinase with TAK-659, an investigational agent, in DLBCL models.. Journal of Clinical Oncology. 32(15_suppl). 8580–8580. 4 indexed citations

8.

Mehta, Shwetal, Emmanuelle Huillard, Santosh Kesari, et al.. (2011). The Central Nervous System-Restricted Transcription Factor Olig2 Opposes p53 Responses to Genotoxic Damage in Neural Progenitors and Malignant Glioma. Cancer Cell. 19(3). 359–371. 121 indexed citations

9.

Wirth, Julia J., Matthew Theisen, & Alfred J. Crowle. (1982). Culture conditions required for primary isolation and study of mouse blood monocytes.. PubMed. 31(4). 325–37. 7 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