Ju Lu

5.4k citations
62 papers · 3.2k indexed · 1 hit paper · h-index 23

Impact in

Papers in

Ju Lu

59 papers receiving 3.2k citations

Hit Papers

Transgenic strategies for combinatorial expression of fluorescent proteins in the nervous system 2007 · 1.4k citations
1.4k20072026201320194008001.2k

Peers

Ju Lu
Comparison fields: 5 of 161
  • Biophysics 782
  • Developmental Neuroscience 253
  • Cellular and Molecular Neuroscience 1.1k
  • Structural Biology 77
  • Neurology 281
Replace Eran A. Mukamel with:
Eran A. Mukamel United States
Tomomi Nemoto Japan
Wei-Chung Allen Lee United States
Jenelle L. Wallace United States
Narayanan Kasthuri United States
Clay Lacefield United States
Yongsoo Kim United States
Hans‐Ulrich Dodt Germany
Nicolas Renier United States
Ali Ertürk Germany
Ju Lu relative to Eran A. Mukamel United States Eran A. Mukamel's profile →
Citations per field
00.5×1.5×
Eran A. Mukamel · 1×
Citations per year

Countries citing papers authored by Ju Lu

Since Specialization
Citations

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

Fields of papers citing papers by Ju Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ju Lu, 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 Ju Lu Line = papers co-authored together Ju Lu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Transgenic strategies for combinatorial expression of fluorescent proteins in the nervous system
Hit paper breakdown →
20071363
2 2012354
3 2011109
4 200994
5 200883
6 201781
7 201977
8 201667
9 201466
10 202159
11 200958
12 201154
13 200952
14 201749
15 201747
16 200644
17 202042
18 201840
19 201135
20 201331

About Ju Lu

Ju Lu is a scholar working on Biophysics, Developmental Neuroscience, Cellular and Molecular Neuroscience, Neurology and Structural Biology, having authored 62 papers that have together received 3.2k indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (13 papers), Neuroscience and Neuropharmacology Research (11 papers), Advanced Fluorescence Microscopy Techniques (8 papers), Neural dynamics and brain function (8 papers), Image Processing Techniques and Applications (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Cellular Mechanics and Interactions (5 papers) and Diabetes Management and Research (4 papers). The work is most often cited by research in Biophysics (782 citations), Developmental Neuroscience (253 citations), Cellular and Molecular Neuroscience (1.1k citations), Structural Biology (77 citations) and Neurology (281 citations). Ju Lu has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Jeff W. Lichtman, Yi Zuo, Hyuno Kang, Ryan W. Draft, Tamily A. Weissman, Joshua R. Sanes, Jean Livet, Xinzhu Yu, Min Fu and Juan Carlos Tapia. Their work appears in journals such as Neuroinformatics, Frontiers in Molecular Neuroscience, Nature, PLoS Biology and Computers in Human Behavior.

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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