Leo Gu

637 citations
17 papers · 489 · h-index 11

Impact in

Papers in

    • Protein Hydrolysis and Bioactive Peptides 4
    • Chemical Synthesis and Analysis 3
    • Protein purification and stability 2
    • Drug Solubulity and Delivery Systems 4

Leo Gu

17 papers receiving 466 citations

Peers

Leo Gu
Comparison fields: 5 of 83
  • Transplantation 131
  • Pharmaceutical Science 102
  • Physiology 25
  • Analytical Chemistry 39
  • Immunology 58
Replace Launa J. Aspeslet with:
Launa J. Aspeslet Canada
Derrick G. Freitag Canada
Karl‐Friedrich Sewing Germany
C Vidal Germany
John Whitlam Australia
Danny R. Howard United States
Andrew Volosov Israel
Henri Humbert France
Silvia Romano‐Moreno Mexico
G Fredj France
Leo Gu relative to Launa J. Aspeslet Canada Launa J. Aspeslet's profile →
Citations per field
00.5×8.5×
Launa J. Aspeslet · 1×
Citations per year

Countries citing papers authored by Leo Gu

Since Specialization
Citations

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

Fields of papers citing papers by Leo Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 1990202
2 199144
3 199042
4 200738
5 198736
6 198927
7 198722
8 199118
9 198813
10 199212
11 199011
12 19879
13 19896
14 19933
15 20003
16
Parenteral formulation development for the positive inotropic agent RS-82856: solubility and stability enhancement through complexation and lyophilization.
19872
17 20161

About Leo Gu

Leo Gu is a scholar working on Molecular Biology, Pharmaceutical Science, Immunology, Materials Chemistry and Organic Chemistry, having authored 17 papers that have together received 489 indexed citations. Recurring topics across this work include Drug Solubulity and Delivery Systems (4 papers), Protein Hydrolysis and Bioactive Peptides (4 papers), Chemical Synthesis and Analysis (3 papers), Crystallization and Solubility Studies (3 papers), Computational Drug Discovery Methods (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Pharmacogenetics and Drug Metabolism (2 papers) and Protein purification and stability (2 papers). The work is most often cited by research in Transplantation (131 citations), Pharmaceutical Science (102 citations), Physiology (25 citations), Analytical Chemistry (39 citations) and Immunology (58 citations). Leo Gu has collaborated with scholars based in Poland, United States and Hong Kong. Frequent co-authors include Robert G. Strickley, Nancy Chu, Kwan Leung, Andrew R. Miksztal, William A. Lee, Gary C. Visor, Z.T. Chowhan, Naoki Kobayashi, Hitomi Kobayashi and Teruna J. Siahaan. Their work appears in journals such as Pharmaceutical Research, Journal of Neurochemistry, Pharmaceutical biotechnology, Journal of Pharmacology and Experimental Therapeutics and Biopolymers.

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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