Hua Jane Lou

5.5k citations
86 papers · 4.3k indexed · 1 hit paper · h-index 35
Topics
RNA Research and Splicing (33 papers)RNA and protein synthesis mechanisms (21 papers)RNA modifications and cancer (21 papers)

In The Last Decade

Hua Jane Lou

86 papers receiving 4.2k citations

Hit Papers

Small Molecule Inhibition of the Autophagy Kinase ULK1 an...20152026201820222015100200300400500

Peers

Hua Jane Lou
Comparison fields: 5 of 118
  • Molecular Biology 3.2k
  • Epidemiology 742
  • Cell Biology 478
  • Cancer Research 445
  • Genetics 403
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 of co-authors of Hua Jane Lou

This figure shows the co-authorship network connecting the top 25 collaborators of Hua Jane Lou. A scholar is included among the top collaborators of Hua Jane Lou 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 Hua Jane Lou. Hua Jane Lou 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
#WorkIndexed citations
1 2
2 2
3 19
4 42
5 18
6 21
7 5
8 7
9 3
10 13
11 23
12
mTORC1 Phosphorylation Sites Encode Their Sensitivity to Starvation and Rapamycin
349
13 66
14 247
15 41
16 29
17 161
18 128
19 63
20 38

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) and RNA modifications and cancer (21 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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