David Sehy

3.5k total citations · 2 hit papers
14 papers, 2.8k citations indexed

About

David Sehy is a scholar working on Immunology, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, David Sehy has authored 14 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 6 papers in Molecular Biology and 3 papers in Biomedical Engineering. Recurrent topics in David Sehy's work include Advanced Biosensing Techniques and Applications (3 papers), Immune Cell Function and Interaction (3 papers) and Microfluidic and Capillary Electrophoresis Applications (3 papers). David Sehy is often cited by papers focused on Advanced Biosensing Techniques and Applications (3 papers), Immune Cell Function and Interaction (3 papers) and Microfluidic and Capillary Electrophoresis Applications (3 papers). David Sehy collaborates with scholars based in United States, Australia and Belgium. David Sehy's co-authors include Dario A.A. Vignali, Kelli L. Boyd, Lauren W. Collison, Yao Wang, Kate M. Vignali, Timothy Kuo, Richard Cross, Creg J. Workman, Richard S. Blumberg and Jason S. Stumhofer and has published in prestigious journals such as Nature, Nature Immunology and The Journal of Immunology.

In The Last Decade

David Sehy

14 papers receiving 2.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The inhibitory cytokine IL-35 contributes to regulatory T-cell function

2007 1.6k citations Lauren W. Collison, Creg J. Workman et al. Nature profile →
Interleukin 27 negatively regulates the development of interleukin 17–producing T helper cells during chronic inflammation of the central nervous system

2006 779 citations Jason S. Stumhofer, Arian Laurence et al. Nature Immunology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David Sehy United States	8	2.1k	564	354	323	221	14	2.8k
Richard J. Hocking United States	4	2.8k 1.3×	525 0.9×	399 1.1×	247 0.8×	320 1.4×	8	3.4k
David Kugler United States	12	1.4k 0.7×	338 0.6×	445 1.3×	268 0.8×	202 0.9×	18	2.0k
Robert Kastelein United States	14	1.4k 0.7×	488 0.9×	374 1.1×	278 0.9×	86 0.4×	22	2.0k
Gudrun F. Debes United States	21	1.9k 0.9×	546 1.0×	268 0.8×	194 0.6×	318 1.4×	34	2.6k
Maya Gavrieli United States	7	2.0k 1.0×	750 1.3×	353 1.0×	326 1.0×	122 0.6×	7	2.6k
Lars Ohl Germany	13	3.0k 1.4×	864 1.5×	464 1.3×	180 0.6×	136 0.6×	17	3.5k
David Peritt United States	19	1.5k 0.7×	325 0.6×	251 0.7×	219 0.7×	239 1.1×	34	2.1k
Alessandro Borsatti Italy	12	2.2k 1.1×	1.3k 2.4×	341 1.0×	267 0.8×	104 0.5×	13	3.1k
Odile Djossou France	13	1.6k 0.8×	457 0.8×	282 0.8×	159 0.5×	195 0.9×	13	2.2k
Joyce Eskdale United Kingdom	26	1.8k 0.9×	599 1.1×	452 1.3×	494 1.5×	196 0.9×	46	3.0k

Countries citing papers authored by David Sehy

Since Specialization

Citations

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

Fields of papers citing papers by David Sehy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Sehy

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

14 of 14 papers shown

Kai, Junhai, Aniruddha Puntambekar, Nelson Santiago Vispo, et al.. (2012). A novel microfluidic microplate as the next generation assay platform for enzyme linked immunoassays (ELISA). Lab on a Chip. 12(21). 4257–4257. 78 indexed citations

Kai, Junhai, Aniruddha Puntambekar, David Sehy, et al.. (2012). Optimiser™ Microplate enables simultaneous multi-analyte quantitation using ultra-low sample volumes in a 2-hour assay: Validation of a Novel 10-Analyte Th17 Cell Panel (124.7). The Journal of Immunology. 188(1_Supplement). 124.7–124.7. 2 indexed citations

Sehy, David, Junhai Kai, Nelson Santiago Vispo, et al.. (2011). Optimiser™ microfluidics ELISA plates overcome confounding rheumatoid factor-like and HAMA-like false positive effects in immunoassay detection of IL-17A in serum matrices. (65.35). The Journal of Immunology. 186(1_Supplement). 65.35–65.35. 1 indexed citations

Ahn, Chong H., Junhai Kai, Se Hwan Lee, et al.. (2011). A New Game Changer for Immunoassays and IVD: Microfluidics and Polymer Lab-on-a-Chips. Procedia Engineering. 25. 651–656. 1 indexed citations

Passos, Sara, et al.. (2010). IL-6 Promotes NK Cell Production of IL-17 during Toxoplasmosis. The Journal of Immunology. 184(4). 1776–1783. 177 indexed citations

Vignali, Dario A.A., Lauren W. Collison, Creg J. Workman, et al.. (2009). IL-35 and regulatory T cell function. Cytokine. 48(1-2). 5–5. 1 indexed citations

Collison, Lauren W., Creg J. Workman, Timothy Kuo, et al.. (2007). The inhibitory cytokine IL-35 contributes to regulatory T-cell function. Nature. 450(7169). 566–569. 1553 indexed citations breakdown →

Nagai, Taro, et al.. (2006). Blockade of TLR9 agonist-induced type I interferons promotes inflammatory cytokine IFN-γ and IL-17 secretion by activated human PBMC. Cytokine. 35(5-6). 235–246. 29 indexed citations

Stumhofer, Jason S., Arian Laurence, Emma H. Wilson, et al.. (2006). Interleukin 27 negatively regulates the development of interleukin 17–producing T helper cells during chronic inflammation of the central nervous system. Nature Immunology. 7(9). 937–945. 779 indexed citations breakdown →

10.

Finkelman, Fred D., Suzanne C. Morris, Tatyana Orekhova, & David Sehy. (2003). The In Vivo Cytokine Capture Assay for Measurement of Cytokine Production in the Mouse. Current Protocols in Immunology. 54(1). Unit 6.28–Unit 6.28. 39 indexed citations

11.

Sehy, David, et al.. (1993). A Novel Dye That Facilitates Three‐Color Analysis of PBMC by Flow Cytometry. Annals of the New York Academy of Sciences. 677(1). 389–395. 5 indexed citations

12.

Sehy, David, Li‐En Shao, Darryl Rideout, & John Yu. (1993). Sensitivity of committed hematopoietic progenitor cells in vitro (BFU-E, CFU-E, CFU-GM) and two human carcinoma cell lines toward rhodamine-123 and phosphonium salt II-41. Leukemia Research. 17(3). 247–253. 1 indexed citations

13.

Sehy, David, Li‐En Shao, Weimin Tsai, John Yu, & Alice L. Yu. (1992). Activin A‐induced diffrentiation in K562 cells is associated with a transient hypophosphorylation of RB protein and the concomitant block of cell cycle at G₁ phase. Journal of Cellular Biochemistry. 50(3). 255–265. 35 indexed citations

14.

Shao, Li‐En, Normand L. Frigon, David Sehy, et al.. (1992). Regulation of production of activin A in human marrow stromal cells and monocytes.. PubMed. 20(10). 1235–42. 82 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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