Scott Lovell

6.4k citations
160 papers · 4.9k · h-index 39

Impact in

Papers in

    • Porphyrin Metabolism and Disorders 12
    • Protein Structure and Dynamics 10
    • Bacterial Genetics and Biotechnology 17

Scott Lovell

154 papers receiving 4.8k citations

Peers

Scott Lovell
Comparison fields: 5 of 139
  • Infectious Diseases 805
  • Inorganic Chemistry 627
  • Hematology 356
  • Endocrinology 166
  • Computational Theory and Mathematics 477
Replace Roberto A. Steiner with:
Roberto A. Steiner United Kingdom
M. Chruszcz United States
Victor S. Lamzin Germany
Charles Ballard United Kingdom
A. Teplyakov United States
Phil Evans United Kingdom
Jeanne A. Stuckey United States
Anthony J. Wilkinson United Kingdom
Robert A. Nicholls United Kingdom
M. Groll Germany
Scott Lovell relative to Roberto A. Steiner United Kingdom Roberto A. Steiner's profile →
Citations per field
00.5×3.2×
Roberto A. Steiner · 1×
Citations per year

Countries citing papers authored by Scott Lovell

Since Specialization
Citations

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

Fields of papers citing papers by Scott Lovell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 160 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006419
2 2012277
3 2020172
4 2010149
5 2011124
6 2000124
7 2002111
8 2012110
9 2001108
10 201892
11 202088
12 201279
13 200375
14 200264
15 200964
16 199863
17 201363
18 201062
19 201061
20 201058

About Scott Lovell

Scott Lovell is a scholar working on Molecular Biology, Genetics, Materials Chemistry, Infectious Diseases and Organic Chemistry, having authored 160 papers that have together received 4.9k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (17 papers), Enzyme Structure and Function (17 papers), Viral gastroenteritis research and epidemiology (14 papers), Porphyrin Metabolism and Disorders (12 papers), Iron Metabolism and Disorders (11 papers), Protein Structure and Dynamics (10 papers), Metal-Catalyzed Oxygenation Mechanisms (10 papers) and Viral Infections and Immunology Research (10 papers). The work is most often cited by research in Infectious Diseases (805 citations), Inorganic Chemistry (627 citations), Hematology (356 citations), Endocrinology (166 citations) and Computational Theory and Mathematics (477 citations). Scott Lovell has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include K.P. Battaile, James M. Mayer, William C. Groutas, Yunjeong Kim, Bart Kahr, Mario Rivera, Kyeong-Ok Chang, Julie A. Kovacs, Huili Yao and Athri D. Rathnayake. Their work appears in journals such as Journal of the American Chemical Society, Biochemistry, Journal of Biological Chemistry, Journal of Medicinal Chemistry and European Journal of Medicinal Chemistry.

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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