Jared Ostmeyer

1.0k total citations
18 papers, 754 citations indexed

About

Jared Ostmeyer is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Jared Ostmeyer has authored 18 papers receiving a total of 754 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Oncology and 5 papers in Immunology. Recurrent topics in Jared Ostmeyer's work include Cancer Immunotherapy and Biomarkers (6 papers), Ion channel regulation and function (6 papers) and Immunotherapy and Immune Responses (3 papers). Jared Ostmeyer is often cited by papers focused on Cancer Immunotherapy and Biomarkers (6 papers), Ion channel regulation and function (6 papers) and Immunotherapy and Immune Responses (3 papers). Jared Ostmeyer collaborates with scholars based in United States and Netherlands. Jared Ostmeyer's co-authors include Benoı̂t Roux, Eduardo Perozo, Lindsay G. Cowell, Sudha Chakrapani, Albert C. Pan, Scott Christley, Jing Li, Alvin W. Annen, Huong T. Kratochvil and Martin T. Zanni and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Jared Ostmeyer

17 papers receiving 748 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jared Ostmeyer United States	13	480	162	151	130	129	18	754
Amy Y. Shih United States	17	829 1.7×	90 0.6×	69 0.5×	144 1.1×	110 0.9×	25	1.1k
Yanyan Xu China	11	386 0.8×	100 0.6×	76 0.5×	167 1.3×	28 0.2×	32	682
Ann M. Ferrie United States	18	870 1.8×	226 1.4×	78 0.5×	117 0.9×	58 0.4×	33	1.2k
Daniel Neumann Germany	14	767 1.6×	91 0.6×	22 0.1×	33 0.3×	74 0.6×	31	1.1k
Han Xu United States	20	610 1.3×	32 0.2×	52 0.3×	48 0.4×	181 1.4×	47	1.2k
Lydia Blachowicz United States	12	360 0.8×	86 0.5×	68 0.5×	16 0.1×	269 2.1×	24	682
Kirill Oxenoid United States	14	853 1.8×	120 0.7×	187 1.2×	26 0.2×	31 0.2×	15	993
Brett M. Kroncke United States	19	687 1.4×	154 1.0×	107 0.7×	36 0.3×	10 0.1×	39	985
Michael T. Lerch United States	9	1.1k 2.2×	552 3.4×	169 1.1×	40 0.3×	41 0.3×	14	1.2k
Tijana Jovanović‐Talisman United States	19	1.1k 2.2×	85 0.5×	58 0.4×	143 1.1×	92 0.7×	46	1.9k

Countries citing papers authored by Jared Ostmeyer

Since Specialization

Citations

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

Fields of papers citing papers by Jared Ostmeyer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jared Ostmeyer

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

18 of 18 papers shown

Ostmeyer, Jared, Jason Y. Park, Mitchell S. von Itzstein, et al.. (2023). T-cell tolerant fraction as a predictor of immune-related adverse events. Journal for ImmunoTherapy of Cancer. 11(8). e006437–e006437. 4 indexed citations

Ostmeyer, Jared, Lindsay G. Cowell, & Scott Christley. (2023). Dynamic kernel matching for non-conforming data: A case study of T cell receptor datasets. PLoS ONE. 18(3). e0265313–e0265313.

Ostmeyer, Jared, Lindsay G. Cowell, Benjamin Greenberg, & Scott Christley. (2021). Reconstituting T cell receptor selection in-silico. Genes and Immunity. 22(3). 187–193. 2 indexed citations

Christley, Scott, Jared Ostmeyer, Lisa Quirk, et al.. (2021). T Cell Receptor Repertoires Acquired via Routine Pap Testing May Help Refine Cervical Cancer and Precancer Risk Estimates. Frontiers in Immunology. 12. 624230–624230. 7 indexed citations

Itzstein, Mitchell S. von, Thomas Sheffield, Shaheen Khan, et al.. (2021). Association between body mass index, dosing strategy, and efficacy of immune checkpoint inhibitors. Journal for ImmunoTherapy of Cancer. 9(6). e002349–e002349. 30 indexed citations

Ostmeyer, Jared, Elena Lucas, Scott Christley, et al.. (2020). Biophysicochemical motifs in T cell receptor sequences as a potential biomarker for high-grade serous ovarian carcinoma. PLoS ONE. 15(3). e0229569–e0229569. 16 indexed citations

Ostmeyer, Jared, Lindsay G. Cowell, & Scott Christley. (2020). Developing and validating an approach for diagnosing and prognosticating cancer from biochemical motifs in T-cell receptors.. Journal of Clinical Oncology. 38(15_suppl). e15260–e15260. 1 indexed citations

Ostmeyer, Jared, et al.. (2019). Biophysicochemical Motifs in T-cell Receptor Sequences Distinguish Repertoires from Tumor-Infiltrating Lymphocyte and Adjacent Healthy Tissue. Cancer Research. 79(7). 1671–1680. 63 indexed citations

Christley, Scott, William Rounds, John Fonner, et al.. (2018). VDJServer: A Cloud-Based Analysis Portal and Data Commons for Immune Repertoire Sequences and Rearrangements. Frontiers in Immunology. 9. 976–976. 51 indexed citations

10.

Ostmeyer, Jared & Lindsay G. Cowell. (2018). Machine learning on sequential data using a recurrent weighted average. Neurocomputing. 331. 281–288. 22 indexed citations

11.

Li, Jing, Jared Ostmeyer, Luis G. Cuello, Eduardo Perozo, & Benoı̂t Roux. (2018). Rapid constriction of the selectivity filter underlies C-type inactivation in the KcsA potassium channel. The Journal of General Physiology. 150(10). 1408–1420. 54 indexed citations

12.

Ostmeyer, Jared, Scott Christley, William Rounds, et al.. (2017). Statistical classifiers for diagnosing disease from immune repertoires: a case study using multiple sclerosis. BMC Bioinformatics. 18(1). 401–401. 45 indexed citations

13.

Kratochvil, Huong T., Michał Maj, Kimberly Matulef, et al.. (2017). Probing the Effects of Gating on the Ion Occupancy of the K⁺ Channel Selectivity Filter Using Two-Dimensional Infrared Spectroscopy. Journal of the American Chemical Society. 139(26). 8837–8845. 27 indexed citations

14.

Li, Jing, Jared Ostmeyer, Eliot Boulanger, et al.. (2017). Chemical substitutions in the selectivity filter of potassium channels do not rule out constricted-like conformations for C-type inactivation. Proceedings of the National Academy of Sciences. 114(42). 11145–11150. 23 indexed citations

15.

Kratochvil, Huong T., Joshua K. Carr, Kimberly Matulef, et al.. (2016). Instantaneous ion configurations in the K ⁺ ion channel selectivity filter revealed by 2D IR spectroscopy. Science. 353(6303). 1040–1044. 167 indexed citations

16.

Weingarth, Markus, et al.. (2014). Quantitative Analysis of the Water Occupancy around the Selectivity Filter of a K⁺ Channel in Different Gating Modes. Journal of the American Chemical Society. 136(5). 2000–2007. 59 indexed citations

17.

Ostmeyer, Jared, Sudha Chakrapani, Albert C. Pan, Eduardo Perozo, & Benoı̂t Roux. (2013). Recovery from slow inactivation in K+ channels is controlled by water molecules. Nature. 501(7465). 121–124. 153 indexed citations

18.

Ostmeyer, Jared, et al.. (2011). Heuristically optimal path scanning for high-speed multiphoton circuit imaging. Journal of Neurophysiology. 106(3). 1591–1598. 30 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