Daniel Hwang

19.0k total citations · 5 hit papers
131 papers, 15.4k citations indexed

About

Daniel Hwang is a scholar working on Immunology, Molecular Biology and Nutrition and Dietetics. According to data from OpenAlex, Daniel Hwang has authored 131 papers receiving a total of 15.4k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Immunology, 44 papers in Molecular Biology and 35 papers in Nutrition and Dietetics. Recurrent topics in Daniel Hwang's work include Immune Response and Inflammation (36 papers), Fatty Acid Research and Health (32 papers) and Inflammatory mediators and NSAID effects (30 papers). Daniel Hwang is often cited by papers focused on Immune Response and Inflammation (36 papers), Fatty Acid Research and Health (32 papers) and Inflammatory mediators and NSAID effects (30 papers). Daniel Hwang collaborates with scholars based in United States, South Korea and Japan. Daniel Hwang's co-authors include Joo Young Lee, Ling Zhao, Sang Hoon Rhee, Hyung S. Youn, Lawrence R. Dick, Colette F. Gramm, Ross L. Stein, Kenneth L. Rock, Karen Clark and Lisa Rothstein and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Daniel Hwang

128 papers receiving 15.0k citations

Hit Papers

Inhibitors of the proteas... 1992 2026 2003 2014 1994 2001 1992 2002 1998 500 1000 1.5k 2.0k
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.

  1. Inhibitors of the proteasome block the degradation of most cell proteins and the generation of peptides presented on MHC class I molecules
    1994 2.2k citations Daniel Hwang et al. profile →
  2. Saturated Fatty Acids, but Not Unsaturated Fatty Acids, Induce the Expression of Cyclooxygenase-2 Mediated through Toll-like Receptor 4
    2001 1.0k citations Joo Young Lee, Daniel Hwang et al. profile →
  3. Selective expression of mitogen-inducible cyclooxygenase in macrophages stimulated with lipopolysaccharide.
    1992 727 citations Prithiva Chanmugam, Daniel Hwang et al. profile →
  4. Serine Phosphorylation of Insulin Receptor Substrate 1 by Inhibitor κB Kinase Complex
    2002 589 citations Daniel Hwang, Michael Lefevre et al. profile →
  5. Expression of Cyclooxygenase-1 and Cyclooxygenase-2 in Human Breast Cancer
    1998 558 citations Daniel Hwang et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Daniel Hwang 6.3k 3.9k 2.8k 2.8k 2.5k 131 15.4k
Marc Peters‐Golden 4.9k 0.8× 4.7k 1.2× 4.6k 1.6× 1.8k 0.6× 936 0.4× 274 17.3k
Thomas M. McIntyre 10.1k 1.6× 5.8k 1.5× 3.2k 1.1× 3.1k 1.1× 1.7k 0.7× 240 26.2k
David M. Stern 10.6k 1.7× 4.9k 1.3× 7.0k 2.5× 2.8k 1.0× 1.4k 0.6× 201 32.3k
Stephen M. Prescott 9.1k 1.4× 6.1k 1.5× 2.4k 0.9× 2.3k 0.8× 1.6k 0.6× 233 25.6k
Mark T. Quinn 7.0k 1.1× 7.3k 1.9× 5.6k 2.0× 1.1k 0.4× 1.4k 0.6× 258 20.6k
László Nagy 12.2k 2.0× 4.1k 1.0× 2.4k 0.8× 1.9k 0.7× 815 0.3× 271 18.6k
Josef Pfeilschifter 11.8k 1.9× 4.8k 1.2× 4.6k 1.6× 2.0k 0.7× 647 0.3× 544 24.4k
C A Dinarello 3.8k 0.6× 7.1k 1.8× 1.9k 0.7× 2.7k 1.0× 1.8k 0.7× 138 16.3k
Babette B. Weksler 4.4k 0.7× 1.9k 0.5× 2.0k 0.7× 1.4k 0.5× 708 0.3× 214 15.5k
D. Neil Granger 4.9k 0.8× 5.1k 1.3× 5.8k 2.1× 2.4k 0.9× 1.9k 0.7× 314 24.0k

Countries citing papers authored by Daniel Hwang

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Hwang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Hwang

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

All Works

20 of 20 papers shown
1.
Sun, Yi, Ruth A. Pumroy, Xiaoming Wang, et al.. (2025). CryoEM structure of an MHC-I/TAPBPR peptide-bound intermediate reveals the mechanism of antigen proofreading. Proceedings of the National Academy of Sciences. 122(2). e2416992122–e2416992122. 3 indexed citations
2.
Hwang, Daniel, Larissa Lumi Watanabe Ishikawa, Alexandra Boehm, et al.. (2022). CSF-1 maintains pathogenic but not homeostatic myeloid cells in the central nervous system during autoimmune neuroinflammation. Proceedings of the National Academy of Sciences. 119(14). e2111804119–e2111804119. 17 indexed citations
3.
Zhang, Weifeng, Dan Xiao, Xing Li, et al.. (2022). SIRT1 inactivation switches reactive astrocytes to an antiinflammatory phenotype in CNS autoimmunity. Journal of Clinical Investigation. 132(22). 28 indexed citations
4.
Hwang, Daniel, Larissa Lumi Watanabe Ishikawa, Alexandra Boehm, et al.. (2022). GATA1 controls numbers of hematopoietic progenitors and their response to autoimmune neuroinflammation. Blood Advances. 6(23). 5980–5994. 11 indexed citations
5.
Casella, Giacomo, Javad Rasouli, Alexandra Boehm, et al.. (2020). Oligodendrocyte-derived extracellular vesicles as antigen-specific therapy for autoimmune neuroinflammation in mice. Science Translational Medicine. 12(568). 80 indexed citations
6.
Huang, Shurong, et al.. (2020). Endotoxin May Not Be the Major Cause of Postprandial Inflammation in Adults Who Consume a Single High-Fat or Moderately High-Fat Meal. Journal of Nutrition. 150(5). 1303–1312. 12 indexed citations
7.
Yoshimura, Satoshi, Rodolfo Thomé, Shingo Konno, et al.. (2019). IL-9 Controls Central Nervous System Autoimmunity by Suppressing GM-CSF Production. The Journal of Immunology. 204(3). 531–539. 21 indexed citations
8.
Karasmanis, Eva, Daniel Hwang, Κωνσταντίνος Νάκος, et al.. (2019). A Septin Double Ring Controls the Spatiotemporal Organization of the ESCRT Machinery in Cytokinetic Abscission. Current Biology. 29(13). 2174–2182.e7. 48 indexed citations
9.
Ono‐Moore, Kikumi D., Ryan G. Snodgrass, Shurong Huang, et al.. (2016). Postprandial Inflammatory Responses and Free Fatty Acids in Plasma of Adults Who Consumed a Moderately High-Fat Breakfast with and without Blueberry Powder in a Randomized Placebo-Controlled Trial. Journal of Nutrition. 146(7). 1411–1419. 35 indexed citations
10.
Roch, Marie A., Simone Baumann‐Pickering, Daniel Hwang, et al.. (2013). Tethys: A workbench and database for passive acoustic metadata. 2013 OCEANS - San Diego. 1–5. 7 indexed citations
11.
Dawson, Kevin, Ling Zhao, Yuriko Adkins, et al.. (2011). Modulation of blood cell gene expression by DHA supplementation in hypertriglyceridemic men. The Journal of Nutritional Biochemistry. 23(6). 616–621. 21 indexed citations
12.
Youn, Hyung S., Zee‐Yong Park, Soyoung Kim, et al.. (2009). Sulforaphane Suppresses Oligomerization of TLR4 in a Thiol-Dependent Manner. The Journal of Immunology. 184(1). 411–419. 104 indexed citations
13.
Kim, So Young, et al.. (2009). Suppression of the TRIF-dependent signaling pathway of Toll-like receptors by luteolin. Biochemical Pharmacology. 77(8). 1391–1400. 110 indexed citations
14.
Hwang, Daniel, et al.. (2008). Toll-like receptors in the pathogenesis of inflammatory diseases. 5(2). 119–128. 1 indexed citations
15.
Youn, Hyung S., Yong Jun Choi, Shin Saitoh, et al.. (2007). Cinnamaldehyde suppresses toll-like receptor 4 activation mediated through the inhibition of receptor oligomerization. Biochemical Pharmacology. 75(2). 494–502. 162 indexed citations
16.
Shin, Jae Il, et al.. (2006). Predictive factors for nephritis, relapse, and significant proteinuria in childhood Henoch–Schönlein purpura. Scandinavian Journal of Rheumatology. 35(1). 56–60. 72 indexed citations
17.
Lee, Joo Young, et al.. (2005). Saturated and Polyunsaturated Fatty Acids Reciprocally Modulate Dendritic Cell Functions Mediated through TLR4. The Journal of Immunology. 174(9). 5390–5397. 242 indexed citations
18.
Bray, George A., Jennifer C. Lovejoy, Steven R. Smith, et al.. (2002). The Influence of Different Fats and Fatty Acids on Obesity, Insulin Resistance and Inflammation. Journal of Nutrition. 132(9). 2488–2491. 151 indexed citations
19.
Paik, Jihye, Joo Young Lee, & Daniel Hwang. (2002). Signaling Pathways for Tnfa-Induced Cox-2 Expression: Mediation Through Map Kinases And Nfkb, And Inhibition By Certain Nonsteroidal Anti-Inflammatory Drugs. Advances in experimental medicine and biology. 507. 503–508. 26 indexed citations
20.
Hwang, Daniel, Mary D. Boudreau, & Prithiva Chanmugam. (1988). Dietary Linolenic Acid and Longer-Chain n-3 Fatty Acids: Comparison of Effects on Arachidonic Acid Metabolism in Rats. Journal of Nutrition. 118(4). 427–437. 122 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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