Karlynn E. Neu

1.5k total citations
16 papers, 637 citations indexed

About

Karlynn E. Neu is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Karlynn E. Neu has authored 16 papers receiving a total of 637 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 6 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Molecular Biology. Recurrent topics in Karlynn E. Neu's work include Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (6 papers) and Influenza Virus Research Studies (4 papers). Karlynn E. Neu is often cited by papers focused on Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (6 papers) and Influenza Virus Research Studies (4 papers). Karlynn E. Neu collaborates with scholars based in United States, Australia and Austria. Karlynn E. Neu's co-authors include Patrick C. Wilson, Aly A. Khan, Qingming Tang, Linda Yu-Ling Lan, Carole J. Henry Dunand, Carole Henry, Min Huang, Anna-Karin E. Palm, Stefan Canzar and Brandon J. DeKosky and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Journal of Clinical Oncology.

In The Last Decade

Karlynn E. Neu

13 papers receiving 634 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Karlynn E. Neu United States	10	420	199	177	106	84	16	637
Ji-Yeun Lee United States	8	449 1.1×	103 0.5×	173 1.0×	84 0.8×	186 2.2×	15	678
Sandeep Narpala United States	10	367 0.9×	264 1.3×	98 0.6×	151 1.4×	88 1.0×	14	681
Nai-Ying Zheng United States	4	459 1.1×	236 1.2×	159 0.9×	62 0.6×	147 1.8×	4	647
Meryem Aloulou France	14	569 1.4×	80 0.4×	183 1.0×	78 0.7×	138 1.6×	23	797
Ellen Kuta United States	8	433 1.0×	155 0.8×	170 1.0×	100 0.9×	85 1.0×	10	693
Meghan Sullivan United States	6	380 0.9×	259 1.3×	148 0.8×	65 0.6×	106 1.3×	7	578
Mark Melchers Netherlands	11	286 0.7×	89 0.4×	144 0.8×	99 0.9×	59 0.7×	17	519
Yotam Bar‐On Israel	14	410 1.0×	233 1.2×	86 0.5×	97 0.9×	57 0.7×	26	617
Henrike Reinhard Germany	13	259 0.6×	198 1.0×	118 0.7×	47 0.4×	94 1.1×	20	515
Sun-Hwa Lee South Korea	10	234 0.6×	221 1.1×	124 0.7×	158 1.5×	27 0.3×	21	511

Countries citing papers authored by Karlynn E. Neu

Since Specialization

Citations

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

Fields of papers citing papers by Karlynn E. Neu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Karlynn E. Neu. 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 Karlynn E. Neu. The network helps show where Karlynn E. Neu may publish in the future.

Co-authorship network of co-authors of Karlynn E. Neu

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

All Works

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16 of 16 papers shown

Lotfollahzadeh, Saran, Karlynn E. Neu, Jennifer La, et al.. (2025). Dietary tryptophan augments cancer-associated venous thrombogenicity mitigated by indoleamine 2,3-dioxygenase 1 inhibition. PubMed Central. 9(19). 4910–4923.

Goryachev, Sergey, Daniel Chen, Oleg Soloviev, et al.. (2025). Automated Extraction of Imaging and Pathology Data From Diverse Prostate Cancer Electronic Records. JCO Clinical Cancer Informatics. 9(9). e2500085–e2500085.

Goryachev, Sergey, Daniel Chen, Oleg Soloviev, et al.. (2025). A natural language processing algorithm to extract MRI and biopsy-related phenotypes for prostate cancer patients.. Journal of Clinical Oncology. 43(5_suppl). 356–356. 1 indexed citations

Barata, Pedro C., Karlynn E. Neu, Jennifer La, et al.. (2025). Docetaxel rechallenge versus cabazitaxel in patients previously treated with docetaxel for metastatic castrate-resistant prostate cancer (mCRPC).. Journal of Clinical Oncology. 43(5_suppl). 154–154.

Neu, Karlynn E., Jennifer La, Ang Li, et al.. (2024). External validation of a novel cancer-associated venous thromboembolism risk assessment score in a safety-net hospital. Research and Practice in Thrombosis and Haemostasis. 9(1). 102650–102650. 3 indexed citations

Freyn, Alec W., Julianna Han, Jenna J. Guthmiller, et al.. (2021). Influenza hemagglutinin-specific IgA Fc-effector functionality is restricted to stalk epitopes. Proceedings of the National Academy of Sciences. 118(8). 7 indexed citations

Dugan, Haley L., Jenna J. Guthmiller, Philip Arevalo, et al.. (2020). Preexisting immunity shapes distinct antibody landscapes after influenza virus infection and vaccination in humans. Science Translational Medicine. 12(573). 72 indexed citations

Henry, Carole, Anna-Karin E. Palm, Henry A. Utset, et al.. (2019). Monoclonal Antibody Responses after Recombinant Hemagglutinin Vaccine versus Subunit Inactivated Influenza Virus Vaccine: a Comparative Study. Journal of Virology. 93(21). 18 indexed citations

Neu, Karlynn E., Jenna J. Guthmiller, Min Huang, et al.. (2018). Spec-seq unveils transcriptional subpopulations of antibody-secreting cells following influenza vaccination. Journal of Clinical Investigation. 129(1). 93–105. 26 indexed citations

10.

Guthmiller, Jenna J., Haley L. Dugan, Karlynn E. Neu, Linda Yu-Ling Lan, & Patrick C. Wilson. (2018). An Efficient Method to Generate Monoclonal Antibodies from Human B Cells. Methods in molecular biology. 1904. 109–145. 28 indexed citations

11.

Neu, Karlynn E., Qingming Tang, Patrick C. Wilson, & Aly A. Khan. (2017). Single-Cell Genomics: Approaches and Utility in Immunology. Trends in Immunology. 38(2). 140–149. 47 indexed citations

12.

Dulberger, Charles L., Curtis McMurtrey, Angelique Hölzemer, et al.. (2017). Human Leukocyte Antigen F Presents Peptides and Regulates Immunity through Interactions with NK Cell Receptors. Immunity. 46(6). 1018–1029.e7. 90 indexed citations

13.

Lan, Linda Yu-Ling, Sarah F. Andrews, Carole Henry, et al.. (2017). Low CD21 expression defines a population of recent germinal center graduates primed for plasma cell differentiation. Science Immunology. 2(7). 162 indexed citations

14.

Bunker, Jeffrey J., Steven A. Erickson, Karlynn E. Neu, et al.. (2016). Refined protocol for generating monoclonal antibodies from single human and murine B cells. Journal of Immunological Methods. 438. 67–70. 48 indexed citations

15.

Neu, Karlynn E., Carole J. Henry Dunand, & Patrick C. Wilson. (2016). Heads, stalks and everything else: how can antibodies eradicate influenza as a human disease?. Current Opinion in Immunology. 42. 48–55. 67 indexed citations

16.

Canzar, Stefan, Karlynn E. Neu, Qingming Tang, Patrick C. Wilson, & Aly A. Khan. (2016). BASIC: BCR assembly from single cells. Bioinformatics. 33(3). 425–427. 68 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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