Samuel Goldman

670 total citations
12 papers, 379 citations indexed

About

Samuel Goldman is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Samuel Goldman has authored 12 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Computational Theory and Mathematics and 2 papers in Materials Chemistry. Recurrent topics in Samuel Goldman's work include Metabolomics and Mass Spectrometry Studies (4 papers), Computational Drug Discovery Methods (4 papers) and Microbial Metabolic Engineering and Bioproduction (2 papers). Samuel Goldman is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (4 papers), Computational Drug Discovery Methods (4 papers) and Microbial Metabolic Engineering and Bioproduction (2 papers). Samuel Goldman collaborates with scholars based in United States, Hong Kong and Austria. Samuel Goldman's co-authors include Connor W. Coley, Alexander Amini, Daniela Rus, Ava P. Soleimany, Sangeeta N. Bhatia, Kevin Yang, Shingo Urata, Rafael Gómez‐Bombarelli, Jeremy Wohlwend and Ramnik J. Xavier and has published in prestigious journals such as Analytical Chemistry, PLoS Computational Biology and Journal of Chemical Information and Modeling.

In The Last Decade

Samuel Goldman

11 papers receiving 353 citations

Peers

Samuel Goldman
Comparison fields: 5 of 97
  • Molecular Biology 170
  • Computational Theory and Mathematics 148
  • Materials Chemistry 134
  • Spectroscopy 44
  • Artificial Intelligence 35
Replace Agnieszka Wołos with:
Agnieszka Wołos Poland
Valerio Zullo Italy
Oufan Zhang United States
Youngchun Kwon South Korea
Shoichi Ishida Japan
Stefan M. Kohlbacher Austria
Veronika Chadimová Sweden
Haochen Zhao China
Arip Asadulaev Russia
Daniel Wigh United Kingdom
Agnieszka Wołos Poland View profile →
Citations per field, relative to Samuel Goldman
Samuel Goldman · 1×
Citations per year, relative to Samuel Goldman
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Countries citing papers authored by Samuel Goldman

Since Specialization
Citations

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

Fields of papers citing papers by Samuel Goldman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samuel Goldman

This figure shows the co-authorship network connecting the top 25 collaborators of Samuel Goldman. A scholar is included among the top collaborators of Samuel Goldman 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 Samuel Goldman. Samuel Goldman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
# Work Indexed citations
1 19
2 39
3 44
4 1
5 8
6 65
7 10
8 11
9 7
10 130
11
The school principal
44
12 1

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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