Mark R. Smith

4.8k citations
51 papers · 3.8k indexed · 4 hit papers · h-index 24

Mark R. Smith

48 papers receiving 3.6k citations

Hit Papers

TheSalmonellainvasin SipB induces macrophage apoptosis by...6251985202619982012250500750

Peers

Mark R. Smith
Comparison fields: 5 of 141
  • Endocrinology 227
  • Pollution 492
  • Molecular Biology 2.3k
  • Biophysics 178
  • Analytical Chemistry 257
Replace Kiyohito Yagi with:
Kiyohito Yagi Japan
Friedrich Srienc United States
Yun‐Gon Kim South Korea
Dae‐Hee Lee South Korea
Yanjiao Zhang China
Diletta Ami Italy
Hui Yang China
Colin Scott Australia
Zhonghui Zhang China
Mark R. Smith relative to Kiyohito Yagi Japan Kiyohito Yagi's profile →
Citations per field
00.5×7.6×
Kiyohito Yagi · 1×
Citations per year

Countries citing papers authored by Mark R. Smith

Since Specialization
Citations

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

Fields of papers citing papers by Mark R. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20220
2 201350
3 201041
4 200887
5 20058
6 200411
7 200417
8 200313
9 200218
10 200143
11 200030
12 200061
13 199934
14 199310
15 199310
16 199221
17
Paragon: A Parallel Programming Environment for Scientific Applications Using Communications Structures.
199114
18
The biodegradation of aromatic hydrocarbons by bacteriabreakdown →
1990621
19 19906
20 198930

About Mark R. Smith

Mark R. Smith is a scholar working on Biophysics, Analytical Chemistry, Catalysis, Endocrinology and Food Science, having authored 51 papers that have together received 3.8k indexed citations. Recurring topics across this work include Spectroscopy Techniques in Biomedical and Chemical Research (8 papers), Spectroscopy and Chemometric Analyses (8 papers), Microbial Metabolic Engineering and Bioproduction (6 papers), Analytical Chemistry and Chromatography (5 papers), Virus-based gene therapy research (4 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), Carbohydrate Chemistry and Synthesis (4 papers) and Catalysts for Methane Reforming (3 papers). The work is most often cited by research in Endocrinology (227 citations), Pollution (492 citations), Molecular Biology (2.3k citations), Biophysics (178 citations) and Analytical Chemistry (257 citations). Mark R. Smith has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Dennis W. Stacey, Linda S. Mulcahy, Arturo Zychlinsky, Stanley Falkow, Denise M. Monack, Nafisa Ghori, David Crich, Roger D. Jee, Frank J. Berry and John Picione. Their work appears in journals such as The Analyst, Applied Microbiology and Biotechnology, Experimental Cell Research, Nature and Journal of Pharmaceutical and Biomedical Analysis.

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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