Samuel G. Moore

122 total papers · 536 total citations
29 papers, 206 citations indexed

About

Samuel G. Moore is a scholar working on Molecular Biology, Biotechnology and Cancer Research. According to data from OpenAlex, Samuel G. Moore has authored 29 papers receiving a total of 206 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 8 papers in Biotechnology and 7 papers in Cancer Research. Recurrent topics in Samuel G. Moore's work include Metabolomics and Mass Spectrometry Studies (9 papers), Marine Sponges and Natural Products (8 papers) and Microbial Natural Products and Biosynthesis (5 papers). Samuel G. Moore is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (9 papers), Marine Sponges and Natural Products (8 papers) and Microbial Natural Products and Biosynthesis (5 papers). Samuel G. Moore collaborates with scholars based in United States, Guam and France. Samuel G. Moore's co-authors include David A. Gaul, Neha Garg, Ipsita Mohanty, Facundo M. Fernández, Vinayak Agarwal, Jason S. Biggs, Julia Kubanek, Subhasish Tapadar, Michelle C. LaPlaca and Jaeyeon Kim and has published in prestigious journals such as Diabetes, Limnology and Oceanography and Science Advances.

In The Last Decade

Samuel G. Moore

26 papers receiving 199 citations

Author Peers

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

Author						Papers	Cites
Samuel G. Moore	94	50	48	26	23	29	206
You-Cheng Lin	98 1.0×	72 1.4×	46 1.0×	25 1.0×	60 2.6×	26	239
Xiaoling Fu	103 1.1×	7 0.1×	24 0.5×	26 1.0×	33 1.4×	21	264
Anne Steinø	75 0.8×	20 0.4×	18 0.4×	18 0.7×	21 0.9×	30	199
K. H. Slotta	75 0.8×	15 0.3×	32 0.7×	6 0.2×	15 0.7×	21	203
David Wang	173 1.8×	100 2.0×	14 0.3×	4 0.2×	32 1.4×	20	265
H. Jensen	64 0.7×	13 0.3×	12 0.3×	11 0.4×	31 1.3×	28	248
Sheik Pran Babu Sardar Pasha	176 1.9×	30 0.6×	8 0.2×	12 0.5×	29 1.3×	15	279
Effrossyni Boutou	154 1.6×	33 0.7×	11 0.2×	3 0.1×	13 0.6×	25	272
Praveen Kumar	91 1.0×	14 0.3×	17 0.4×	80 3.1×	17 0.7×	32	214
Kanagasabai Vadivel	122 1.3×	6 0.1×	23 0.5×	6 0.2×	36 1.6×	24	286

Countries citing papers authored by Samuel G. Moore

Since Specialization

Citations

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

Fields of papers citing papers by Samuel G. Moore

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samuel G. Moore

This figure shows the co-authorship network connecting the top 25 collaborators of Samuel G. Moore. A scholar is included among the top collaborators of Samuel G. Moore 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 G. Moore. Samuel G. Moore 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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