Jessica Li

1.8k total citations
18 papers, 901 citations indexed

About

Jessica Li is a scholar working on Molecular Biology, Immunology and Organic Chemistry. According to data from OpenAlex, Jessica Li has authored 18 papers receiving a total of 901 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 10 papers in Immunology and 2 papers in Organic Chemistry. Recurrent topics in Jessica Li's work include Immunotherapy and Immune Responses (5 papers), T-cell and B-cell Immunology (4 papers) and Immune Cell Function and Interaction (3 papers). Jessica Li is often cited by papers focused on Immunotherapy and Immune Responses (5 papers), T-cell and B-cell Immunology (4 papers) and Immune Cell Function and Interaction (3 papers). Jessica Li collaborates with scholars based in United States, Australia and Canada. Jessica Li's co-authors include L. Yin, A. Michelle Edwards, Charles M. Deber, Christopher M. Yip, Steven D. Rosen, Zena Werb, Malcolm Lyon, Megumi Morimoto‐Tomita, Annette Bistrup and Kenji Uchimura and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Jessica Li

18 papers receiving 891 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jessica Li United States 13 587 302 285 129 82 18 901
L Liu United States 7 677 1.2× 252 0.8× 432 1.5× 113 0.9× 217 2.6× 7 1.2k
Peter I. Song United States 17 387 0.7× 203 0.7× 224 0.8× 46 0.4× 94 1.1× 32 858
Chun‐Ting Yuen United Kingdom 18 789 1.3× 109 0.4× 321 1.1× 164 1.3× 60 0.7× 31 1.1k
Yuko Tsutsumi‐Ishii Japan 13 425 0.7× 410 1.4× 398 1.4× 26 0.2× 128 1.6× 21 944
Kazuhiko Okumura Japan 18 422 0.7× 331 1.1× 182 0.6× 41 0.3× 178 2.2× 32 817
Gerhard Unteregger Germany 16 723 1.2× 256 0.8× 160 0.6× 91 0.7× 190 2.3× 57 1.3k
Gerold Schwarz Germany 9 429 0.7× 97 0.3× 282 1.0× 35 0.3× 156 1.9× 13 746
W L Cosand United States 17 441 0.8× 137 0.5× 325 1.1× 58 0.4× 188 2.3× 19 960
Ren-In You Taiwan 16 363 0.6× 65 0.2× 160 0.6× 72 0.6× 94 1.1× 33 698
John V. Cox United States 19 469 0.8× 179 0.6× 101 0.4× 197 1.5× 55 0.7× 38 937

Countries citing papers authored by Jessica Li

Since Specialization
Citations

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

Fields of papers citing papers by Jessica Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jessica Li

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

All Works

18 of 18 papers shown
1.
Raguseo, Federica, Yiran Wang, Jessica Li, et al.. (2023). The ALS/FTD-related C9orf72 hexanucleotide repeat expansion forms RNA condensates through multimolecular G-quadruplexes. Nature Communications. 14(1). 8272–8272. 30 indexed citations
2.
Fantino, Elisa, Natacha Mérindol, Fatma Meddeb‐Mouelhi, et al.. (2023). Bioengineering of the Marine Diatom Phaeodactylum tricornutum with Cannabis Genes Enables the Production of the Cannabinoid Precursor, Olivetolic Acid. International Journal of Molecular Sciences. 24(23). 16624–16624. 12 indexed citations
3.
Li, Jessica, Natacha Mérindol, Elisa Fantino, et al.. (2023). Instability of extrachromosomal DNA transformed into the diatom Phaeodactylum tricornutum. Algal Research. 70. 102998–102998. 17 indexed citations
4.
Antiochos, Brendan, Paride Fenaroli, Avi Z. Rosenberg, et al.. (2022). The DNA sensors AIM2 and IFI16 are SLE autoantigens that bind neutrophil extracellular traps. eLife. 11. 44 indexed citations
5.
Li, Jessica, Meredith O’Keeffe, Ingrid Leal Rojas, et al.. (2021). Elucidating the Motif for CpG Oligonucleotide Binding to the Dendritic Cell Receptor DEC-205 Leads to Improved Adjuvants for Liver-Resident Memory. The Journal of Immunology. 207(7). 1836–1847. 7 indexed citations
6.
Antiochos, Brendan, Jessica Li, Daniel Goldman, et al.. (2021). Autoantibodies targeting LINE-1-encoded ORF1p are associated with systemic lupus erythematosus diagnosis but not disease activity. Clinical and Experimental Rheumatology. 40(9). 1636–1641. 6 indexed citations
7.
Li, Jessica, Sarah Whelan, Maya F. Kotturi, et al.. (2020). PVRIG is a novel natural killer cell immune checkpoint receptor in acute myeloid leukemia. Haematologica. 106(12). 3115–3124. 23 indexed citations
8.
Gully, Benjamin S., Hariprasad Venugopal, Alex J. Fulcher, et al.. (2020). The cryo-EM structure of the endocytic receptor DEC-205. Journal of Biological Chemistry. 296. 100127–100127. 12 indexed citations
9.
Ren, Min, Majid Kazemian, Ming Zheng, et al.. (2020). Transcription factor p73 regulates Th1 differentiation. Nature Communications. 11(1). 1475–1475. 24 indexed citations
10.
Li, Jessica, et al.. (2020). Benchmarking Computational Doublet-Detection Methods for Single-Cell RNA Sequencing Data. SSRN Electronic Journal. 4 indexed citations
11.
Li, Jessica, Fatma Ahmet, Meredith O’Keeffe, et al.. (2016). CD14 is not involved in the uptake of synthetic CpG oligonucleotides. Molecular Immunology. 81. 52–58. 2 indexed citations
12.
Fischer, Saloumeh K, Montserrat Carrasco‐Triguero, Kyu Hong, et al.. (2016). Commercial Biomarker Assays: Friend and Foe. Bioanalysis. 8(22). 2351–2362. 6 indexed citations
13.
Sun, Kaiqi, Yujin Zhang, Mikhail Bogdanov, et al.. (2015). Elevated adenosine signaling via adenosine A2B receptor induces normal and sickle erythrocyte sphingosine kinase 1 activity. Blood. 125(10). 1643–1652. 41 indexed citations
14.
Macri, Christophe, Claire Dumont, Jessica Li, et al.. (2015). Criteria for Dendritic Cell Receptor Selection for Efficient Antibody-Targeted Vaccination. The Journal of Immunology. 194(6). 2696–2705. 56 indexed citations
15.
Li, Jessica, Fatma Ahmet, Lucy C. Sullivan, et al.. (2014). Antibodies targeting Clec9A promote strong humoral immunity without adjuvant in mice and non‐human primates. European Journal of Immunology. 45(3). 854–864. 68 indexed citations
16.
Chong, Robert, Kenneth Wu, Donald E. Spratt, et al.. (2014). Pivotal role for the ubiquitin Y59-E51 loop in lysine 48 polyubiquitination. Proceedings of the National Academy of Sciences. 111(23). 8434–8439. 22 indexed citations
17.
Yin, L., A. Michelle Edwards, Jessica Li, Christopher M. Yip, & Charles M. Deber. (2012). Roles of Hydrophobicity and Charge Distribution of Cationic Antimicrobial Peptides in Peptide-Membrane Interactions. Journal of Biological Chemistry. 287(10). 7738–7745. 346 indexed citations
18.
Uchimura, Kenji, Megumi Morimoto‐Tomita, Annette Bistrup, et al.. (2006). HSulf-2, an extracellular endoglucosamine-6-sulfatase, selectively mobilizes heparin-bound growth factors and chemokines: effects on VEGF, FGF-1, and SDF-1. BMC Biochemistry. 7(1). 2–2. 181 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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