Walter P. Smith

1.1k citations
32 papers · 811 · h-index 16

Impact in

Papers in

    • RNA and protein synthesis mechanisms 7
    • Biochemical and Structural Characterization 3
    • Bacterial Genetics and Biotechnology 7

Walter P. Smith

29 papers receiving 648 citations

Peers

Walter P. Smith
Comparison fields: 5 of 115
  • Dermatology 179
  • Pharmaceutical Science 118
  • Endocrinology 43
  • Genetics 170
  • Cell Biology 83
Replace Mariko Kimura with:
Mariko Kimura Japan
Yujing Wang China
Nahid H. Hajrah Saudi Arabia
Phyllis A. Myers United States
Keita Matsumoto Japan
Antonio Antonucci Italy
Rodrigo S. Galhardo Brazil
Craig Volker United States
Shruti Rastogi India
Carl J. Malanga United States
Walter P. Smith relative to Mariko Kimura Japan Mariko Kimura's profile →
Citations per field
00.5×10×14.3×
Mariko Kimura · 1×
Citations per year

Countries citing papers authored by Walter P. Smith

Since Specialization
Citations

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

Fields of papers citing papers by Walter P. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Walter P. Smith. 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 Walter P. Smith. The network helps show where Walter P. Smith may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1977102
2 198282
3 199676
4 197853
5 199053
6
Hydroxy acids and skin aging
199447
7 197841
8 198938
9 199636
10 198034
11 198133
12 198030
13 197929
14 197524
15 199921
16
In vivo assessment of skin elasticity using ballistometry
199120
17 198614
18 198013
19 199913
20 197710

About Walter P. Smith

Walter P. Smith is a scholar working on Molecular Biology, Genetics, Dermatology, Biotechnology and Immunology, having authored 32 papers that have together received 811 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (7 papers), Bacterial Genetics and Biotechnology (7 papers), Skin Protection and Aging (6 papers), Toxin Mechanisms and Immunotoxins (4 papers), Advancements in Transdermal Drug Delivery (3 papers), Biochemical and Structural Characterization (3 papers), Microbial Inactivation Methods (3 papers) and Dyeing and Modifying Textile Fibers (3 papers). The work is most often cited by research in Dermatology (179 citations), Pharmaceutical Science (118 citations), Endocrinology (43 citations), Genetics (170 citations) and Cell Biology (83 citations). Walter P. Smith has collaborated with scholars based in United States, United Kingdom and South Africa. Frequent co-authors include Phang C. Tai, Bernard D. Davis, Richard Thompson, Eugene H. Gans, Sergio Nacht, Robert Gall, Daniel Maes, Daniel H. Pope, Edward Pelle and Eun‐Kyung Kim. Their work appears in journals such as Journal of Bacteriology, Proceedings of the National Academy of Sciences, International Journal of Cosmetic Science, Monthly Weather Review and IEEE Transactions on Industry Applications.

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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