Pengchen Ma

1.4k citations
25 papers · 859 indexed · 1 hit paper · h-index 15

Pengchen Ma

22 papers receiving 847 citations

Hit Papers

De novo design of luciferases using deep learning241202320262024202550100150200

Peers

Pengchen Ma
Comparison fields: 5 of 73
  • Organic Chemistry 511
  • Inorganic Chemistry 171
  • Process Chemistry and Technology 25
  • Pharmaceutical Science 33
  • Molecular Biology 266
Replace Tianzhang Qiao with:
Tianzhang Qiao United States
Stéphane Streiff France
Helena M. Lovick United States
Jan Pawlas United States
Carl J. Mallia United Kingdom
Rung‐Yi Lai Thailand
René Tannert Germany
Valérie Bénéteau France
Sang Kook Woo South Korea
Kevin R. Flower United Kingdom
Pengchen Ma relative to Tianzhang Qiao United States Tianzhang Qiao's profile →
Citations per field
00.5×4.1×
Tianzhang Qiao · 1×
Citations per year

Countries citing papers authored by Pengchen Ma

Since Specialization
Citations

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

Fields of papers citing papers by Pengchen Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20252
3 20250
4 20253
5 202415
6 202417
7 20240
8 20247
9 20247
10 202343
11 202337
12 202321
13
De novo design of luciferases using deep learningbreakdown →
2023241
14 202222
15 202230
16 202117
17 201954
18 201930
19 201765
20 2014149

About Pengchen Ma

Pengchen Ma is a scholar working on Organic Chemistry, Pharmaceutical Science and Inorganic Chemistry, having authored 25 papers that have together received 859 indexed citations. Recurring topics across this work include Catalytic C–H Functionalization Methods (12 papers), Cyclopropane Reaction Mechanisms (6 papers), Photoreceptor and optogenetics research (5 papers), bioluminescence and chemiluminescence research (5 papers), Synthesis and Catalytic Reactions (5 papers), Radical Photochemical Reactions (4 papers), Asymmetric Hydrogenation and Catalysis (4 papers) and Catalytic Cross-Coupling Reactions (3 papers). The work is most often cited by research in Organic Chemistry (511 citations), Inorganic Chemistry (171 citations) and Process Chemistry and Technology (25 citations). Pengchen Ma has collaborated with scholars based in China, United States and Israel. Frequent co-authors include Hui Chen, K. N. Houk, Bingwei Zhou, Congyang Wang, Shaohong Wang, Xiaoming Zeng, Xuefeng Cong, Samer Halabiya, Declan Evans and Ivan Anishchenko. Their work appears in journals such as Journal of the American Chemical Society, Organic Letters, Chemical Communications, Angewandte Chemie International Edition and Chemical Science.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026