Marcia W. Patchan

959 citations
25 papers · 775 · h-index 14

Impact in

Papers in

Marcia W. Patchan

25 papers receiving 760 citations

Peers

Marcia W. Patchan
Comparison fields: 5 of 94
  • Toxicology 52
  • Molecular Medicine 51
  • Biomaterials 128
  • Polymers and Plastics 95
  • Bioengineering 38
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Shi China
Guan-Hai Wang China
Marisa Martinelli Argentina
Shuo Feng China
B. S. Lele India
Tomoki Nishimura Japan
Huaibin Zhang China
Alexandre Gonçalves Dal‐Bó Brazil
Ying Cong China
Rafael Barreiro-Iglesias Spain
Marcia W. Patchan relative to Shi China Shi's profile →
Citations per field
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Citations per year

Countries citing papers authored by Marcia W. Patchan

Since Specialization
Citations

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

Fields of papers citing papers by Marcia W. Patchan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marcia W. Patchan. 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 Marcia W. Patchan. The network helps show where Marcia W. Patchan may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996129
2 1995120
3 201269
4 199657
5 201548
6 199143
7 199643
8 199241
9 201240
10 201333
11 199532
12 199521
13 201518
14 202116
15 201513
16 199313
17 201511
18 199510
19 19955
20 20144

About Marcia W. Patchan

Marcia W. Patchan is a scholar working on Molecular Biology, Electrical and Electronic Engineering, Biomaterials, Organic Chemistry and Pharmaceutical Science, having authored 25 papers that have together received 775 indexed citations. Recurring topics across this work include Electrochemical sensors and biosensors (5 papers), Enzyme function and inhibition (4 papers), Advanced Cellulose Research Studies (4 papers), Advanced Polymer Synthesis and Characterization (3 papers), Cancer therapeutics and mechanisms (3 papers), bioluminescence and chemiluminescence research (3 papers), Polymer composites and self-healing (3 papers) and Advancements in Transdermal Drug Delivery (3 papers). The work is most often cited by research in Toxicology (52 citations), Molecular Medicine (51 citations), Biomaterials (128 citations), Polymers and Plastics (95 citations) and Bioengineering (38 citations). Marcia W. Patchan has collaborated with scholars based in United States. Frequent co-authors include Richard B. Thompson, Neil Osheroff, Stacie J. Froelich-Ammon, Zhiyong Xia, Ronald R. Price, Morgana M. Trexler, Jeffrey Maranchi, D. Andrew Burden, Paul S. Kingma and Jennifer H. Elisseeff. Their work appears in journals such as Journal of Biological Chemistry, Journal of Applied Polymer Science, ACS Applied Materials & Interfaces, Journal of Microencapsulation and Journal of the American Chemical Society.

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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