Jordan Ye

1.2k total citations · 1 hit paper
11 papers, 700 citations indexed

About

Jordan Ye is a scholar working on Molecular Biology, Cell Biology and Epidemiology. According to data from OpenAlex, Jordan Ye has authored 11 papers receiving a total of 700 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Cell Biology and 4 papers in Epidemiology. Recurrent topics in Jordan Ye's work include Autophagy in Disease and Therapy (4 papers), Cellular transport and secretion (3 papers) and Protein Degradation and Inhibitors (3 papers). Jordan Ye is often cited by papers focused on Autophagy in Disease and Therapy (4 papers), Cellular transport and secretion (3 papers) and Protein Degradation and Inhibitors (3 papers). Jordan Ye collaborates with scholars based in United States, United Kingdom and China. Jordan Ye's co-authors include Jayanta Debnath, Andrew M. Leidal, Juliet Goldsmith, Timothy Marsh, Srirupa Roy, Sabrina M. Ronen, Dachuan Zhang, FuiBoon Kai, Li Yu and Hector H. Huang and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Cell Biology and The EMBO Journal.

In The Last Decade

Jordan Ye

10 papers receiving 692 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 LC3-conjugation machinery specifies the loading of RNA-binding proteins into extracellular vesicles

2020 349 citations Andrew M. Leidal, Hector H. Huang et al. Nature Cell Biology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jordan Ye United States	7	443	336	176	148	75	11	700
Vigdis Sørensen Norway	18	741 1.7×	129 0.4×	71 0.4×	294 2.0×	107 1.4×	28	991
Sandrine Obba France	7	258 0.6×	270 0.8×	64 0.4×	48 0.3×	179 2.4×	9	573
Eda Machado United States	10	428 1.0×	144 0.4×	53 0.3×	149 1.0×	179 2.4×	12	731
Azadeh Bagherzadeh United Kingdom	9	557 1.3×	236 0.7×	93 0.5×	87 0.6×	60 0.8×	9	824
Seong Min Kim United States	9	270 0.6×	100 0.3×	131 0.7×	103 0.7×	167 2.2×	15	554
Grégory Lavieu France	4	394 0.9×	149 0.4×	109 0.6×	63 0.4×	58 0.8×	5	479
Alexander Watson United Kingdom	8	355 0.8×	494 1.5×	67 0.4×	44 0.3×	281 3.7×	17	870
Viola Nähse Norway	13	859 1.9×	211 0.6×	109 0.6×	371 2.5×	62 0.8×	17	1.2k
Cristina Escrevente Portugal	12	798 1.8×	67 0.2×	366 2.1×	158 1.1×	203 2.7×	16	1.0k
Damien Ramel France	18	479 1.1×	76 0.2×	52 0.3×	463 3.1×	122 1.6×	24	871

Countries citing papers authored by Jordan Ye

Since Specialization

Citations

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

Fields of papers citing papers by Jordan Ye

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jordan Ye

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

11 of 11 papers shown

1.

Bravo, Brandon, Jun Ma, Joel McIntosh, et al.. (2023). Abstract 3423: NX-2127: A first-in-class clinical stage degrader of BTK and IKZF1/3 for the treatment of patients with B cell malignancies. Cancer Research. 83(7_Supplement). 3423–3423. 4 indexed citations

2.

Noviski, Mark, Stephanie Yung, Jordan Ye, et al.. (2023). Abstract 2850: NX-5948 promotes selective, sub-nanomolar degradation of inhibitor-resistant BTK mutants. Cancer Research. 83(7_Supplement). 2850–2850. 2 indexed citations

3.

Whelan, Sarah, Jordan Ye, Ganesh Cherala, et al.. (2022). 777 Initial clinical characterization of novel proximal biomarkers for NX-1607, a first-in-class oral CBL-B inhibitor, in patients with advanced malignancies. Regular and Young Investigator Award Abstracts. A809–A809.

4.

Liu, Jennifer Y., Yu-Hsiu T. Lin, Andrew M. Leidal, et al.. (2021). GRASP55 restricts early-stage autophagy and regulates spatial organization of the early secretory network. Biology Open. 10(10). 6 indexed citations

5.

Leidal, Andrew M., Hector H. Huang, Timothy Marsh, et al.. (2020). The LC3-conjugation machinery specifies the loading of RNA-binding proteins into extracellular vesicles. Nature Cell Biology. 22(2). 187–199. 349 indexed citations breakdown →

6.

Chen, Sihan, Gwendolyn Μ. Jang, Ruth Hüttenhain, et al.. (2018). CRL4 ^AMBRA1 targets Elongin C for ubiquitination and degradation to modulate CRL5 signaling. The EMBO Journal. 37(18). 12 indexed citations

7.

Todd, Michael D., et al.. (2018). Composite Laminate Fatigue Damage Detection and Prognosis Using Embedded Fiber Bragg Gratings. 2 indexed citations

8.

Roy, Srirupa, Andrew M. Leidal, Jordan Ye, Sabrina M. Ronen, & Jayanta Debnath. (2017). Autophagy-Dependent Shuttling of TBC1D5 Controls Plasma Membrane Translocation of GLUT1 and Glucose Uptake. Molecular Cell. 67(1). 84–95.e5. 117 indexed citations

9.

Kenific, Candia M., Samantha J. Stehbens, Juliet Goldsmith, et al.. (2016). NBR1 enables autophagy-dependent focal adhesion turnover. The Journal of Cell Biology. 212(5). 577–590. 130 indexed citations

10.

Rose, John C., Po‐Ssu Huang, Nathan D. Camp, et al.. (2016). A computationally engineered RAS rheostat reveals RAS–ERK signaling dynamics. Nature Chemical Biology. 13(1). 119–126. 16 indexed citations

11.

Ye, Jordan, Miranda L. Broz, Kevin C. Barry, et al.. (2016). Antitumor adaptive immunity remains intact following inhibition of autophagy and antimalarial treatment. Journal of Clinical Investigation. 126(12). 4417–4429. 62 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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