J. Thomas Mullins

80 total papers · 1.2k total citations
63 papers, 777 citations indexed

About

J. Thomas Mullins is a scholar working on Molecular Biology, Plant Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, J. Thomas Mullins has authored 63 papers receiving a total of 777 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 23 papers in Plant Science and 19 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in J. Thomas Mullins's work include Biocrusts and Microbial Ecology (17 papers), Polysaccharides and Plant Cell Walls (11 papers) and Algal biology and biofuel production (11 papers). J. Thomas Mullins is often cited by papers focused on Biocrusts and Microbial Ecology (17 papers), Polysaccharides and Plant Cell Walls (11 papers) and Algal biology and biofuel production (11 papers). J. Thomas Mullins collaborates with scholars based in United States, Switzerland and Nigeria. J. Thomas Mullins's co-authors include D. des S. Thomas, Terry W. Hill, Julia B. Reiskind, P. C. Mol, Alexandra Shapiro, Alma W. Barksdale, E Cabib, Hee‐Moon Park, Robert L. Cook and John R. Raper and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

J. Thomas Mullins

62 papers receiving 710 citations

Author Peers

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

Author Last Decade Papers Cites
J. Thomas Mullins 296 286 150 107 97 63 777
Lilyann Novak Frazer 280 0.9× 205 0.7× 57 0.4× 73 0.7× 166 1.7× 44 852
Martha D. Berliner 240 0.8× 233 0.8× 60 0.4× 40 0.4× 225 2.3× 58 636
Marco A. Coelho 481 1.6× 409 1.4× 110 0.7× 60 0.6× 150 1.5× 38 803
H. B. Naylor 401 1.4× 161 0.6× 52 0.3× 36 0.3× 52 0.5× 41 854
V. Vinter 471 1.6× 258 0.9× 83 0.6× 35 0.3× 16 0.2× 48 889
N. J. W. Kreger-van Rij 529 1.8× 269 0.9× 47 0.3× 41 0.4× 107 1.1× 34 775
Karel Harant 301 1.0× 81 0.3× 139 0.9× 25 0.2× 43 0.4× 44 786
Julia Pawłowska 166 0.6× 385 1.3× 85 0.6× 175 1.6× 94 1.0× 50 790
Lei Pan 451 1.5× 463 1.6× 53 0.4× 29 0.3× 28 0.3× 45 899
Martin M. Kulik 133 0.4× 481 1.7× 98 0.7× 55 0.5× 11 0.1× 46 676

Countries citing papers authored by J. Thomas Mullins

Since Specialization
Citations

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

Fields of papers citing papers by J. Thomas Mullins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. Thomas Mullins. 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 J. Thomas Mullins. The network helps show where J. Thomas Mullins may publish in the future.

Co-authorship network of co-authors of J. Thomas Mullins

This figure shows the co-authorship network connecting the top 25 collaborators of J. Thomas Mullins. A scholar is included among the top collaborators of J. Thomas Mullins 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 J. Thomas Mullins. J. Thomas Mullins 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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