Lang Huynh

1.8k total citations · 1 hit paper
8 papers, 1.4k citations indexed

About

Lang Huynh is a scholar working on Genetics, Immunology and Pathology and Forensic Medicine. According to data from OpenAlex, Lang Huynh has authored 8 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Genetics, 6 papers in Immunology and 4 papers in Pathology and Forensic Medicine. Recurrent topics in Lang Huynh's work include Chronic Lymphocytic Leukemia Research (8 papers), Lymphoma Diagnosis and Treatment (4 papers) and Immunodeficiency and Autoimmune Disorders (4 papers). Lang Huynh is often cited by papers focused on Chronic Lymphocytic Leukemia Research (8 papers), Lymphoma Diagnosis and Treatment (4 papers) and Immunodeficiency and Autoimmune Disorders (4 papers). Lang Huynh collaborates with scholars based in United States and France. Lang Huynh's co-authors include Laura Z. Rassenti, Arthur Weiss, Thomas J. Kipps, Liguang Chen, R. Kanti, George F. Widhopf, Michael J. Keating, John G. Gribben, John C. Byrd and Donna Neuberg and has published in prestigious journals such as New England Journal of Medicine and Blood.

In The Last Decade

Lang Huynh

8 papers receiving 1.3k citations

Hit Papers

ZAP-70 Compared with Immunoglobulin Heavy-Chain Gene Muta... 2004 2026 2011 2018 2004 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lang Huynh United States 4 1.3k 859 765 313 153 8 1.4k
Andrew Greaves United States 11 1.1k 0.8× 780 0.9× 623 0.8× 241 0.8× 140 0.9× 23 1.2k
Jenny Orchard United Kingdom 11 1.6k 1.2× 1.3k 1.5× 808 1.1× 289 0.9× 158 1.0× 18 1.7k
Till Seiler Germany 11 1000 0.8× 757 0.9× 588 0.8× 196 0.6× 150 1.0× 19 1.1k
Sarah Mould United Kingdom 14 803 0.6× 554 0.6× 409 0.5× 303 1.0× 195 1.3× 20 1.1k
K Owusu-Ankomah United Kingdom 14 1.3k 1.0× 1.1k 1.3× 761 1.0× 179 0.6× 194 1.3× 17 1.6k
Daniela Gottardi Italy 11 605 0.5× 379 0.4× 405 0.5× 353 1.1× 120 0.8× 19 1.0k
Ludger Sellmann Germany 19 683 0.5× 426 0.5× 526 0.7× 344 1.1× 109 0.7× 34 1.1k
Sergey Krysov United Kingdom 15 671 0.5× 535 0.6× 472 0.6× 354 1.1× 116 0.8× 25 1.0k
Giuliana Strola Italy 9 569 0.4× 366 0.4× 464 0.6× 197 0.6× 106 0.7× 12 847
Jennifer Edelmann Germany 12 812 0.6× 564 0.7× 352 0.5× 257 0.8× 135 0.9× 22 1.0k

Countries citing papers authored by Lang Huynh

Since Specialization
Citations

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

Fields of papers citing papers by Lang Huynh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lang Huynh

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

All Works

8 of 8 papers shown
1.
Chen, Liguang, Lang Huynh, John Apgar, et al.. (2007). ZAP-70 enhances IgM signaling independent of its kinase activity in chronic lymphocytic leukemia. Blood. 111(5). 2685–2692. 112 indexed citations
2.
Chen, Liguang, Lang Huynh, Arthur Weiss, & Thomas J. Kipps. (2006). ZAP-70 Enhances IgM Signaling in Chronic Lymphocytic Leukemia Cells Independent of Its Tyrosine Kinase Activity.. Blood. 108(11). 585–585. 2 indexed citations
3.
Rassenti, Laura Z., Donna Neuberg, Lang Huynh, et al.. (2006). Relative Value of CD38 and ZAP-70 Versus Immunoglobulin Mutation Status in Predicting Early Disease Progression in Chronic Lymphocytic Leukemia.. Blood. 108(11). 2778–2778. 1 indexed citations
4.
Fukuda, Tetsuya, Donna Neuberg, Lang Huynh, et al.. (2005). Expression of T Cell Co-Stimulator (ICOS) and Its Ligand and Disease Progression in B-Cell Chronic Lymphocytic Leukemia.. Blood. 106(11). 2943–2943. 1 indexed citations
5.
Chuang, Han‐Yu, Yu‐Tsueng Liu, Laura Z. Rassenti, et al.. (2005). Expression of Lymphocyte Activation Gene 3 (LAG-3/CD223) by Chronic Lymphocytic Leukemia B Cells.. Blood. 106(11). 2952–2952. 1 indexed citations
6.
Rassenti, Laura Z., Lang Huynh, Liguang Chen, et al.. (2004). ZAP-70 Compared with Immunoglobulin Heavy-Chain Gene Mutation Status as a Predictor of Disease Progression in Chronic Lymphocytic Leukemia. New England Journal of Medicine. 351(9). 893–901. 659 indexed citations breakdown →
7.
Chen, Liguang, John Apgar, Lang Huynh, et al.. (2004). ZAP-70 directly enhances IgM signaling in chronic lymphocytic leukemia. Blood. 105(5). 2036–2041. 186 indexed citations
8.
Chen, Liguang, George F. Widhopf, Lang Huynh, et al.. (2002). Expression of ZAP-70 is associated with increased B-cell receptor signaling in chronic lymphocytic leukemia. Blood. 100(13). 4609–4614. 406 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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