Junjun Mao

990 total citations
22 papers, 793 citations indexed

About

Junjun Mao is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Junjun Mao has authored 22 papers receiving a total of 793 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 7 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Junjun Mao's work include Photosynthetic Processes and Mechanisms (12 papers), Protein Structure and Dynamics (8 papers) and Photoreceptor and optogenetics research (7 papers). Junjun Mao is often cited by papers focused on Photosynthetic Processes and Mechanisms (12 papers), Protein Structure and Dynamics (8 papers) and Photoreceptor and optogenetics research (7 papers). Junjun Mao collaborates with scholars based in United States, Canada and Germany. Junjun Mao's co-authors include M. R. Gunner, Yifan Song, Karin Hauser, Yingying Zhang, Xiuhong Cai, David L. Mobley, Carlo Ballatore, Stefan M. Kast, Karol R. Francisco and Chitrak Gupta and has published in prestigious journals such as Journal of Molecular Biology, The Journal of Physical Chemistry B and Biochemistry.

In The Last Decade

Junjun Mao

21 papers receiving 781 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Junjun Mao United States 14 635 188 175 139 87 22 793
Laura Zanetti‐Polzi Italy 19 419 0.7× 107 0.6× 222 1.3× 189 1.4× 86 1.0× 52 792
Gisela Brändén Sweden 13 545 0.9× 199 1.1× 75 0.4× 136 1.0× 44 0.5× 29 772
Christopher D. Syme United Kingdom 18 595 0.9× 76 0.4× 111 0.6× 195 1.4× 159 1.8× 21 1.4k
Andreas Labahn Germany 16 650 1.0× 115 0.6× 185 1.1× 98 0.7× 105 1.2× 30 825
Vladimir V. Shubin Russia 15 654 1.0× 238 1.3× 252 1.4× 183 1.3× 20 0.2× 47 941
Kristina E. Furse United States 12 400 0.6× 134 0.7× 309 1.8× 45 0.3× 31 0.4× 14 638
Björn Rabenstein Germany 8 533 0.8× 191 1.0× 302 1.7× 64 0.5× 25 0.3× 9 657
Yuji Takaoka Japan 13 747 1.2× 98 0.5× 472 2.7× 82 0.6× 64 0.7× 21 1.1k
G. J. King United States 5 650 1.0× 72 0.4× 466 2.7× 186 1.3× 63 0.7× 5 1.0k
Chewook Lee South Korea 14 567 0.9× 131 0.7× 467 2.7× 215 1.5× 30 0.3× 20 1.0k

Countries citing papers authored by Junjun Mao

Since Specialization
Citations

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

Fields of papers citing papers by Junjun Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junjun Mao

This figure shows the co-authorship network connecting the top 25 collaborators of Junjun Mao. A scholar is included among the top collaborators of Junjun Mao 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 Junjun Mao. Junjun Mao 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
1.
Gupta, Chitrak, et al.. (2024). Finding the E-channel proton loading sites by calculating the ensemble of protonation microstates. Biochimica et Biophysica Acta (BBA) - Bioenergetics. 1866(1). 149518–149518. 1 indexed citations
2.
Mao, Junjun, Josh V. Vermaas, Jimin Wang, et al.. (2023). Computing the Relative Affinity of Chlorophylls a and b to Light-Harvesting Complex II. The Journal of Physical Chemistry B. 127(51). 10974–10986. 3 indexed citations
3.
Zhang, Yingying, et al.. (2022). Comparison of proton transfer paths to the QA and QB sites of the Rb. sphaeroides photosynthetic reaction centers. Photosynthesis Research. 152(2). 153–165. 15 indexed citations
4.
5.
Mao, Junjun, et al.. (2022). Characterizing Protein Protonation Microstates Using Monte Carlo Sampling. The Journal of Physical Chemistry B. 126(13). 2476–2485. 15 indexed citations
6.
Zhang, Yingying, Junjun Mao, M. R. Gunner, et al.. (2021). Evaluation of log P, pKa, and log D predictions from the SAMPL7 blind challenge. Journal of Computer-Aided Molecular Design. 35(7). 771–802. 64 indexed citations
7.
Gupta, Chitrak, John Vant, Mrinal Shekhar, et al.. (2021). Poor Person’s pH Simulation of Membrane Proteins. Methods in molecular biology. 2315. 197–217. 2 indexed citations
8.
Zhang, Yingying, Van A. Ngo, Xiuhong Cai, et al.. (2020). Characterizing the water wire in the Gramicidin channel found by Monte Carlo sampling using continuum electrostatics and in molecular dynamics trajectories with conventional or polarizable force fields. Journal of Theoretical and Computational Chemistry. 2042001–2042001. 3 indexed citations
9.
Cai, Xiuhong, Chang Yun Son, Junjun Mao, et al.. (2020). Identifying the proton loading site cluster in the ba cytochrome c oxidase that loads and traps protons. Biochimica et Biophysica Acta (BBA) - Bioenergetics. 1861(10). 148239–148239. 15 indexed citations
10.
Gupta, Chitrak, Xiuhong Cai, Junjun Mao, et al.. (2020). Hydrogen bond network analysis reveals the pathway for the proton transfer in the E-channel of T. thermophilus Complex I. Biochimica et Biophysica Acta (BBA) - Bioenergetics. 1861(10). 148240–148240. 24 indexed citations
11.
Mao, Junjun, Muhamed Amin, Krystle Reiss, et al.. (2019). Relative stability of the S2 isomers of the oxygen evolving complex of photosystem II. Photosynthesis Research. 141(3). 331–341. 20 indexed citations
12.
Cai, Xiuhong, et al.. (2019). Tracing the Pathways of Waters and Protons in Photosystem II and Cytochrome c Oxidase. Inorganics. 7(2). 14–14. 16 indexed citations
13.
Mao, Junjun, et al.. (2013). Method for multi-attribute group decision-making based on multi-experts interval numbers. Journal of Computer Applications. 32(3). 649–653. 1 indexed citations
14.
Song, Yifan, Junjun Mao, & M. R. Gunner. (2009). MCCE2: Improving protein pKa calculations with extensive side chain rotamer sampling. Journal of Computational Chemistry. 30(14). 2231–2247. 195 indexed citations
15.
Gunner, M. R., et al.. (2006). Factors influencing the energetics of electron and proton transfers in proteins. What can be learned from calculations. Biochimica et Biophysica Acta (BBA) - Bioenergetics. 1757(8). 942–968. 84 indexed citations
16.
Song, Yifan, Junjun Mao, & M. R. Gunner. (2006). Electrostatic Environment of Hemes in Proteins:  pKas of Hydroxyl Ligands. Biochemistry. 45(26). 7949–7958. 29 indexed citations
17.
Mao, Junjun, et al.. (2005). Are Acidic and Basic Groups in Buried Proteins Predicted to be Ionized?. Journal of Molecular Biology. 348(5). 1283–1298. 91 indexed citations
18.
Hauser, Karin, Junjun Mao, & M. R. Gunner. (2004). pH dependence of heme electrochemistry in cytochromes investigated by multiconformation continuum electrostatic calculations. Biopolymers. 74(1-2). 51–54. 20 indexed citations
19.
Mao, Junjun, Karin Hauser, & M. R. Gunner. (2003). How Cytochromes with Different Folds Control Heme Redox Potentials. Biochemistry. 42(33). 9829–9840. 122 indexed citations
20.
Song, Yifan, Junjun Mao, & M. R. Gunner. (2003). Calculation of Proton Transfers in Bacteriorhodopsin bR and M Intermediates. Biochemistry. 42(33). 9875–9888. 60 indexed citations

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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