Jennifer E. Kung

863 total citations
10 papers, 587 citations indexed

About

Jennifer E. Kung is a scholar working on Molecular Biology, Immunology and Cell Biology. According to data from OpenAlex, Jennifer E. Kung has authored 10 papers receiving a total of 587 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Immunology and 2 papers in Cell Biology. Recurrent topics in Jennifer E. Kung's work include T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). Jennifer E. Kung is often cited by papers focused on T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). Jennifer E. Kung collaborates with scholars based in United States, Sweden and China. Jennifer E. Kung's co-authors include Natalia Jura, Erin J. Adams, Leah V. Sibener, Paul B. Savage, Jacinto López‐Sagaseta, Jenny E. Gumperz, Li Bai, Louise Scharf, Toufic Mayassi and Brian Anderson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The EMBO Journal.

In The Last Decade

Jennifer E. Kung

9 papers receiving 582 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jennifer E. Kung United States	8	285	248	134	95	31	10	587
Nhan Nguyen United States	11	184 0.6×	244 1.0×	80 0.6×	55 0.6×	30 1.0×	15	439
Gina J. Fiala Germany	15	249 0.9×	359 1.4×	167 1.2×	61 0.6×	16 0.5×	23	654
Sébastien Huault France	9	140 0.5×	284 1.1×	86 0.6×	82 0.9×	23 0.7×	11	407
Georges Grard France	7	250 0.9×	355 1.4×	85 0.6×	96 1.0×	29 0.9×	9	550
Keman Zhang United States	14	153 0.5×	317 1.3×	208 1.6×	36 0.4×	25 0.8×	26	543
Éric Cabannes France	10	123 0.4×	269 1.1×	137 1.0×	70 0.7×	28 0.9×	12	502
Dapeng Qian United States	7	317 1.1×	250 1.0×	113 0.8×	56 0.6×	21 0.7×	12	568
Zahide Özer United States	14	196 0.7×	265 1.1×	135 1.0×	59 0.6×	38 1.2×	23	583
Patrick Fernandes Rodrigues United States	13	362 1.3×	448 1.8×	172 1.3×	78 0.8×	59 1.9×	19	792

Countries citing papers authored by Jennifer E. Kung

Since Specialization

Citations

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

Fields of papers citing papers by Jennifer E. Kung

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer E. Kung

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

All Works

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10 of 10 papers shown

Kung, Jennifer E., Matthew C. Johnson, Dimitry Tegunov, et al.. (2025). Disulfide-constrained Fabs overcome target size limitation for high-resolution single particle cryoEM. Nature Communications. 16(1). 8687–8687.

Kung, Jennifer E. & Jawahar Sudhamsu. (2023). Abstract A023: Structural basis for regulation of MAPK signaling by DUSP5 and DUSP6. Molecular Cancer Research. 21(5_Supplement). A023–A023. 1 indexed citations

Agnew, Christopher, Pelin Ayaz, Risa Kashima, et al.. (2021). Structural basis for ALK2/BMPR2 receptor complex signaling through kinase domain oligomerization. Nature Communications. 12(1). 4950–4950. 23 indexed citations

Lo, Megan, Jennifer E. Kung, Małgorzata Dudkiewicz, et al.. (2019). PEAK3/C19orf35 pseudokinase, a new NFK3 kinase family member, inhibits CrkII through dimerization. Proceedings of the National Academy of Sciences. 116(31). 15495–15504. 15 indexed citations

Kung, Jennifer E. & Natalia Jura. (2019). Prospects for pharmacological targeting of pseudokinases. Nature Reviews Drug Discovery. 18(7). 501–526. 109 indexed citations

Kung, Jennifer E. & Natalia Jura. (2019). The pseudokinase TRIB 1 toggles an intramolecular switch to regulate COP 1 nuclear export. The EMBO Journal. 38(4). 32 indexed citations

Kung, Jennifer E. & Natalia Jura. (2016). Structural Basis for the Non-catalytic Functions of Protein Kinases. Structure. 24(1). 7–24. 125 indexed citations

Luoma, Adrienne, Caitlin D. Castro, Toufic Mayassi, et al.. (2013). Crystal Structure of Vδ1 T Cell Receptor in Complex with CD1d-Sulfatide Shows MHC-like Recognition of a Self-Lipid by Human γδ T Cells. Immunity. 39(6). 1032–1042. 200 indexed citations

López‐Sagaseta, Jacinto, Leah V. Sibener, Jennifer E. Kung, Jenny E. Gumperz, & Erin J. Adams. (2012). Lysophospholipid presentation by CD1d and recognition by a human Natural Killer T‐cell receptor. The EMBO Journal. 31(8). 2047–2059. 54 indexed citations

10.

López‐Sagaseta, Jacinto, Jennifer E. Kung, Paul B. Savage, Jenny E. Gumperz, & Erin J. Adams. (2012). The Molecular Basis for Recognition of CD1d/α-Galactosylceramide by a Human Non-Vα24 T Cell Receptor. PLoS Biology. 10(10). e1001412–e1001412. 28 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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