Steven P. Smith

3.6k citations
110 papers · 2.7k · h-index 29

Impact in

    • Enzyme Production and Characterization
    • S100 Proteins and Annexins
    • Protein Structure and Dynamics
    • Glycosylation and Glycoproteins Research

Papers in

Steven P. Smith

109 papers receiving 2.7k citations

Peers

Steven P. Smith
Comparison fields: 5 of 143
  • Biotechnology 397
  • Molecular Biology 1.2k
  • Immunology and Allergy 65
  • Geochemistry and Petrology 68
  • Biomedical Engineering 488
Replace Hiroyuki Takeda with:
Hiroyuki Takeda Japan
Richard A. Laursen United States
Bruno M. Humbel Netherlands
Naoki Sato Japan
Kiyoshi Kawasaki Japan
Marit Nilsen‐Hamilton United States
Dylan Chivian United States
Dan V. Nicolau Australia
Tomokazu Fukuda Japan
Zhigang Liu China
Steven P. Smith relative to Hiroyuki Takeda Japan Hiroyuki Takeda's profile →
Citations per field
00.5×6.5×
Hiroyuki Takeda · 1×
Citations per year

Countries citing papers authored by Steven P. Smith

Since Specialization
Citations

This map shows the geographic impact of Steven 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 Steven 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 Steven P. Smith more than expected).

Fields of papers citing papers by Steven P. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Steven 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 Steven P. Smith Line = papers co-authored together Steven 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 110 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000219
2 1983180
3 1998105
4 200988
5 200588
6 201775
7 200167
8 199664
9 201362
10 199856
11 201954
12 200849
13 200548
14 199847
15 199146
16 201745
17 200043
18 201341
19 200941
20 201338

About Steven P. Smith

Steven P. Smith is a scholar working on Molecular Biology, Biomedical Engineering, Biotechnology, Plant Science and Materials Chemistry, having authored 110 papers that have together received 2.7k indexed citations. Recurring topics across this work include Enzyme Production and Characterization (21 papers), Polysaccharides and Plant Cell Walls (15 papers), Biofuel production and bioconversion (15 papers), Enzyme Structure and Function (12 papers), Glycosylation and Glycoproteins Research (9 papers), S100 Proteins and Annexins (8 papers), Bacterial Genetics and Biotechnology (6 papers) and Clostridium difficile and Clostridium perfringens research (5 papers). The work is most often cited by research in Biotechnology (397 citations), Molecular Biology (1.2k citations), Immunology and Allergy (65 citations), Geochemistry and Petrology (68 citations) and Biomedical Engineering (488 citations). Steven P. Smith has collaborated with scholars based in Canada, United States and Israel. Frequent co-authors include Gary S. Shaw, Edward A. Bayer, B. M. Kennedy, Jarrett Adams, Zongchao Jia, Mara Prentiss, Seth Chitayat, A.B. Boraston, Donald J. Grande and Robert M. Westervelt. Their work appears in journals such as Journal of Biological Chemistry, Journal of Molecular Biology, Biochemistry, Scientific Reports and PLoS ONE.

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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