Jennifer M. Smith

41 total papers · 1.5k total citations
34 papers, 1.2k citations indexed

About

Jennifer M. Smith is a scholar working on Molecular Biology, Biophysics and Oncology. According to data from OpenAlex, Jennifer M. Smith has authored 34 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 8 papers in Biophysics and 6 papers in Oncology. Recurrent topics in Jennifer M. Smith's work include Spectroscopy Techniques in Biomedical and Chemical Research (8 papers), Cancer-related Molecular Pathways (5 papers) and Chemical Synthesis and Analysis (4 papers). Jennifer M. Smith is often cited by papers focused on Spectroscopy Techniques in Biomedical and Chemical Research (8 papers), Cancer-related Molecular Pathways (5 papers) and Chemical Synthesis and Analysis (4 papers). Jennifer M. Smith collaborates with scholars based in United States, Canada and United Kingdom. Jennifer M. Smith's co-authors include Edward J. Wood, Michael Dornish, Erin E. McClelland, Viktor Krchňák, Bruce C. McKay, Lawton J. Stubbert, Mimi Ghosh, Charles R. Wira, John V. Fahey and Josef Vágner and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Biomaterials.

In The Last Decade

Jennifer M. Smith

32 papers receiving 1.2k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jennifer M. Smith 421 340 221 130 127 34 1.2k
Paul Baldrick 321 0.8× 195 0.6× 287 1.3× 77 0.6× 241 1.9× 59 1.5k
B. Parodi 377 0.9× 451 1.3× 121 0.5× 147 1.1× 206 1.6× 74 1.4k
Katharina Maisel 376 0.9× 445 1.3× 123 0.6× 155 1.2× 218 1.7× 31 1.1k
Barbara Mognetti 269 0.6× 120 0.4× 302 1.4× 152 1.2× 123 1.0× 50 1.1k
Megumu Higaki 306 0.7× 194 0.6× 322 1.5× 96 0.7× 220 1.7× 48 1.5k
Shujing Wang 252 0.6× 230 0.7× 218 1.0× 161 1.2× 48 0.4× 35 1.1k
Mary Kremer 252 0.6× 392 1.2× 97 0.4× 74 0.6× 86 0.7× 14 1.1k
Vivek K. Pawar 337 0.8× 553 1.6× 174 0.8× 96 0.7× 376 3.0× 39 1.5k
Miguel Ángel Campanero 350 0.8× 455 1.3× 84 0.4× 74 0.6× 266 2.1× 38 1.4k
Saikat Ghosh 811 1.9× 144 0.4× 96 0.4× 99 0.8× 214 1.7× 52 1.5k

Countries citing papers authored by Jennifer M. Smith

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer M. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer M. Smith

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer M. Smith. A scholar is included among the top collaborators of Jennifer M. Smith based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jennifer M. Smith. Jennifer M. Smith is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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