Huaping Mo

3.3k citations
62 papers · 2.9k · h-index 33

Impact in

Papers in

Huaping Mo

61 papers receiving 2.8k citations

Peers

Huaping Mo
Comparison fields: 5 of 104
  • Pharmaceutical Science 593
  • Spectroscopy 543
  • Molecular Biology 776
  • Organic Chemistry 282
  • Cancer Research 97
Replace J. Howard Rytting with:
J. Howard Rytting United States
Bruno Perly France
Giovanni Fronza Italy
Giuseppe Ermondi Italy
Fabio Arnesano Italy
Hazime Saitô Japan
Tsang‐Lin Hwang United States
Emilio Quiñoá Spain
Jiagao Cheng China
Walter Cabri Italy
Huaping Mo relative to J. Howard Rytting United States J. Howard Rytting's profile →
Citations per field
00.5×2×4×6.5×
J. Howard Rytting · 1×
Citations per year

Countries citing papers authored by Huaping Mo

Since Specialization
Citations

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

Fields of papers citing papers by Huaping Mo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Huaping Mo, 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 Huaping Mo Line = papers co-authored together Huaping Mo 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 2011245
2 2001135
3 2010129
4 2003123
5 2011119
6 201996
7 201286
8 201584
9 201984
10 200282
11 199781
12 200479
13 201278
14 200368
15 200265
16 200765
17 201165
18 201562
19 201761
20 200959

About Huaping Mo

Huaping Mo is a scholar working on Spectroscopy, Pharmaceutical Science, Molecular Biology, Organic Chemistry and Nuclear and High Energy Physics, having authored 62 papers that have together received 2.9k indexed citations. Recurring topics across this work include Advanced NMR Techniques and Applications (24 papers), Drug Solubulity and Delivery Systems (6 papers), Protein Structure and Dynamics (6 papers), Molecular spectroscopy and chirality (4 papers), NMR spectroscopy and applications (4 papers), Crystallization and Solubility Studies (4 papers), Surfactants and Colloidal Systems (3 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). The work is most often cited by research in Pharmaceutical Science (593 citations), Spectroscopy (543 citations), Molecular Biology (776 citations), Organic Chemistry (282 citations) and Cancer Research (97 citations). Huaping Mo has collaborated with scholars based in United States, China and Mexico. Frequent co-authors include Daniel Raftery, Lynne S. Taylor, Thomas C. Pochapsky, Geoff G. Z. Zhang, Yi Gao, Edward R. Zartler, Clint C. S. Chapple, Michael J. Shapiro, Allen D. Kline and Jiangli Yan. Their work appears in journals such as Magnetic Resonance in Chemistry, Journal of Magnetic Resonance, Journal of the American Chemical Society, Bioorganic & Medicinal Chemistry Letters and Journal of Pharmaceutical 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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