T. M. McCalla

112 total papers · 3.1k total citations
61 papers, 1.7k citations indexed

About

T. M. McCalla is a scholar working on Plant Science, Soil Science and Agronomy and Crop Science. According to data from OpenAlex, T. M. McCalla has authored 61 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Plant Science, 17 papers in Soil Science and 9 papers in Agronomy and Crop Science. Recurrent topics in T. M. McCalla's work include Soil Carbon and Nitrogen Dynamics (13 papers), Mycotoxins in Agriculture and Food (10 papers) and Allelopathy and phytotoxic interactions (8 papers). T. M. McCalla is often cited by papers focused on Soil Carbon and Nitrogen Dynamics (13 papers), Mycotoxins in Agriculture and Food (10 papers) and Allelopathy and phytotoxic interactions (8 papers). T. M. McCalla collaborates with scholars based in United States, Spain and Australia. T. M. McCalla's co-authors include W. D. Guenzi, Fred A. Norstadt, F. A. Haskins, J. R. Ellis, G. E. Schuman, L. N. Mielke, L. F. Elliott, W. R. Kehr, J. A. DeShazer and R. G. Spomer and has published in prestigious journals such as Science, Applied and Environmental Microbiology and Water Resources Research.

In The Last Decade

T. M. McCalla

57 papers receiving 1.4k citations

Author Peers

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

Author Last Decade Papers Cites
T. M. McCalla 1.2k 257 212 201 179 61 1.7k
Ian A. Merwin 1.6k 1.3× 475 1.8× 139 0.7× 178 0.9× 423 2.4× 61 2.2k
Mahaveer P. Sharma 1.6k 1.3× 464 1.8× 295 1.4× 125 0.6× 134 0.7× 56 2.2k
Elisa Pellegrino 1.6k 1.3× 602 2.3× 174 0.8× 180 0.9× 108 0.6× 48 2.1k
Merle M. Anders 1.1k 0.9× 600 2.3× 139 0.7× 252 1.3× 59 0.3× 59 1.7k
Radziah Othman 1.2k 1.0× 284 1.1× 141 0.7× 67 0.3× 154 0.9× 128 1.7k
Mário Carvalho 945 0.8× 328 1.3× 120 0.6× 143 0.7× 65 0.4× 78 1.4k
Cláudio Roberto Fonsêca Sousa Soares 1.3k 1.0× 320 1.2× 434 2.0× 110 0.5× 64 0.4× 87 1.7k
Ronald Ferrera‐Cerrato 996 0.8× 170 0.7× 264 1.2× 108 0.5× 178 1.0× 121 1.4k
Gamini Seneviratne 735 0.6× 402 1.6× 195 0.9× 148 0.7× 73 0.4× 98 1.6k
AD Rovira 1.3k 1.1× 539 2.1× 123 0.6× 180 0.9× 186 1.0× 40 2.0k

Countries citing papers authored by T. M. McCalla

Since Specialization
Citations

This map shows the geographic impact of T. M. McCalla'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 T. M. McCalla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. M. McCalla more than expected).

Fields of papers citing papers by T. M. McCalla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. M. McCalla

This figure shows the co-authorship network connecting the top 25 collaborators of T. M. McCalla. A scholar is included among the top collaborators of T. M. McCalla 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 T. M. McCalla. T. M. McCalla 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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