Hua Jane Lou

5.5k citations
86 papers · 4.3k indexed · 1 hit paper · h-index 35
    • RNA Research and Splicing 33
    • RNA and protein synthesis mechanisms 21
    • RNA modifications and cancer 21
    • Protein Kinase Regulation and GTPase Signaling 12
    • Melanoma and MAPK Pathways 9
    • Genomics and Chromatin Dynamics 7
    • Signaling Pathways in Disease 7
  • Physiology top 2%
    • Microtubule and mitosis dynamics 7

Hua Jane Lou

86 papers receiving 4.2k citations

Hit Papers

Small Molecule Inhibition of the Autophagy Kinase ULK1 an...5592015202620182022100200300400500

Peers

Hua Jane Lou
Comparison fields: 5 of 118
  • Molecular Biology 3.2k
  • Parasitology 205
  • Physiology 135
  • Cancer Research 445
  • Cell Biology 478
Replace Ivan Matić with:
Ivan Matić Germany
Rachel Toth United Kingdom
Alban Ordureau United States
Tetsu Kamitani United States
Marc Hild United States
James E. Brownell United States
Sandra Lacas‐Gervais France
Eugene W. Krueger United States
Grace Gill United States
Helen R. Flynn United Kingdom
Hua Jane Lou relative to Ivan Matić Germany Ivan Matić's profile →
Citations per field
00.5×1.5×1.9×
Ivan Matić · 1×
Citations per year

Countries citing papers authored by Hua Jane Lou

Since Specialization
Citations

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

Fields of papers citing papers by Hua Jane Lou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hua Jane Lou. 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 Hua Jane Lou. The network helps show where Hua Jane Lou may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Hua Jane Lou, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hua Jane Lou Line = papers co-authored together Hua Jane Lou links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20242
2 20242
3 202019
4 202042
5 201918
6 201821
7 20185
8 20157
9 20133
10 201313
11 201323
12
mTORC1 Phosphorylation Sites Encode Their Sensitivity to Starvation and Rapamycin
2013349
13 201266
14 2010247
15 201041
16 200929
17 1998161
18 1996128
19 199563
20 199338

About Hua Jane Lou

Hua Jane Lou is a scholar working on Molecular Biology, Cell Biology and Biophysics, having authored 86 papers that have together received 4.3k indexed citations. Recurring topics across this work include RNA Research and Splicing (33 papers), RNA and protein synthesis mechanisms (21 papers), RNA modifications and cancer (21 papers), Protein Kinase Regulation and GTPase Signaling (12 papers), Melanoma and MAPK Pathways (9 papers), Microtubule and mitosis dynamics (7 papers), Genomics and Chromatin Dynamics (7 papers) and Signaling Pathways in Disease (7 papers). The work is most often cited by research in Molecular Biology (3.2k citations), Parasitology (205 citations) and Physiology (135 citations). Hua Jane Lou has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Benjamin E. Turk, Robert F. Gagel, Susan M. Berget, Guangbin Luo, Hui Zhu, Mary A. Schuler, Chad J. Miller, Melissa N. Hinman, Andrew J. McCullough and Karla M. Neugebauer. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.

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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