Cong Lu

4.1k citations
52 papers · 1.1k · h-index 18

Impact in

Papers in

    • Kruppel-like factors research 2
    • Radical Photochemical Reactions 10
    • Catalytic C–H Functionalization Methods 8
    • Sulfur-Based Synthesis Techniques 5

Cong Lu

49 papers receiving 1.1k citations

Peers

Cong Lu
Comparison fields: 5 of 105
  • Electrochemistry 146
  • Bioengineering 99
  • Cancer Research 113
  • Organic Chemistry 240
  • Oncology 145
Replace Hidenori Nakayama with:
Hidenori Nakayama Japan
Li Shen China
Oren Dwir Israel
Kōichi Okumura Japan
Anne Schwinde Germany
Friederike M. Mansfeld Australia
Marie Vojtı́šková Czechia
B Bejcek United States
Nitsa Rosenzweig United States
Yu‐Jen Lu Taiwan
Cong Lu relative to Hidenori Nakayama Japan Hidenori Nakayama's profile →
Citations per field
00.5×4.3×
Hidenori Nakayama · 1×
Citations per year

Countries citing papers authored by Cong Lu

Since Specialization
Citations

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

Fields of papers citing papers by Cong Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012207
2 201492
3 201356
4 201955
5 201954
6 201449
7 202040
8 202238
9 202036
10 202135
11 201334
12 201933
13 201332
14 201931
15 201929
16 201827
17 201324
18 201820
19 202216
20 202316

About Cong Lu

Cong Lu is a scholar working on Molecular Biology, Organic Chemistry, Oncology, Hematology and Spectroscopy, having authored 52 papers that have together received 1.1k indexed citations. Recurring topics across this work include Radical Photochemical Reactions (10 papers), Catalytic C–H Functionalization Methods (8 papers), CAR-T cell therapy research (6 papers), Sulfur-Based Synthesis Techniques (5 papers), Advanced Proteomics Techniques and Applications (4 papers), Acute Myeloid Leukemia Research (4 papers), Mass Spectrometry Techniques and Applications (3 papers) and Kruppel-like factors research (2 papers). The work is most often cited by research in Electrochemistry (146 citations), Bioengineering (99 citations), Cancer Research (113 citations), Organic Chemistry (240 citations) and Oncology (145 citations). Cong Lu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Ke Zheng, Frédéric Lemaître, Christian Amatore, Jing Dong, Yixian Wang, Wojciech Nogala, Jean‐Marc Noël, Jeyavel Velmurugan, Michael V. Mirkin and Manon Guille Collignon. Their work appears in journals such as Blood, Organic Chemistry Frontiers, Journal of Proteome Research, European Journal of Organic Chemistry and Organic Letters.

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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