Mayland Chang

6.2k citations
109 papers · 4.7k indexed · 1 hit paper · h-index 37

Impact in

Papers in

Mayland Chang

105 papers receiving 4.6k citations

Hit Papers

Strategy for Treatment of Infected Diabetic Foot Ulcers 2021 · 502 citations
5022021202620222024100200300400500

Peers

Mayland Chang
Comparison fields: 5 of 128
  • Rehabilitation 745
  • Molecular Medicine 537
  • Cancer Research 847
  • Occupational Therapy 156
  • Organic Chemistry 1.0k
Replace Stephen Wood with:
Stephen Wood United States
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Mayland Chang relative to Stephen Wood United States Stephen Wood's profile →
Citations per field
00.5×8.8×
Stephen Wood · 1×
Citations per year

Countries citing papers authored by Mayland Chang

Since Specialization
Citations

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

Fields of papers citing papers by Mayland Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20248
3 202325
4 202014
5 201896
6 201819
7 201722
8 201645
9 2015119
10 201515
11 201536
12 2013208
13 201396
14 2013103
15 20119
16 2011133
17 200932
18 200899
19
Inhibition of human prostate cancer growth and osteolysis in a bone metastasis model by a mechanism-based specific gelatinase inhibitor (SB-3CT)
20051
20
Metabolism of the human immunodeficiency virus type 1 reverse transcriptase inhibitor delavirdine in rats.
199712

About Mayland Chang

Mayland Chang is a scholar working on Cancer Research, Molecular Medicine, Rehabilitation, Infectious Diseases and Organic Chemistry, having authored 109 papers that have together received 4.7k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (41 papers), Antimicrobial Resistance in Staphylococcus (19 papers), Peptidase Inhibition and Analysis (19 papers), Wound Healing and Treatments (13 papers), Antibiotic Resistance in Bacteria (12 papers), Cancer therapeutics and mechanisms (11 papers), Quinazolinone synthesis and applications (10 papers) and Signaling Pathways in Disease (9 papers). The work is most often cited by research in Rehabilitation (745 citations), Molecular Medicine (537 citations), Cancer Research (847 citations), Occupational Therapy (156 citations) and Organic Chemistry (1.0k citations). Mayland Chang has collaborated with scholars based in United States, Spain and Germany. Frequent co-authors include Shahriar Mobashery, Trung T. Nguyen, J.A. Hermoso, William R. Wolter, Mark A. Suckow, Valerie A. Schroeder, Mijoon Lee, Jennifer Fishovitz, Elena Lastochkin and Major Gooyit. Their work appears in journals such as Journal of Medicinal Chemistry, ACS Pharmacology & Translational Science, Journal of the American Chemical Society, ACS Medicinal Chemistry Letters and Antimicrobial Agents and Chemotherapy.

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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