J.L. Crossland

36 total papers · 614 total citations
13 papers, 519 citations indexed

About

J.L. Crossland is a scholar working on Inorganic Chemistry, Renewable Energy, Sustainability and the Environment and Catalysis. According to data from OpenAlex, J.L. Crossland has authored 13 papers receiving a total of 519 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Inorganic Chemistry, 9 papers in Renewable Energy, Sustainability and the Environment and 7 papers in Catalysis. Recurrent topics in J.L. Crossland's work include Metalloenzymes and iron-sulfur proteins (9 papers), Ammonia Synthesis and Nitrogen Reduction (7 papers) and Metal-Organic Frameworks: Synthesis and Applications (3 papers). J.L. Crossland is often cited by papers focused on Metalloenzymes and iron-sulfur proteins (9 papers), Ammonia Synthesis and Nitrogen Reduction (7 papers) and Metal-Organic Frameworks: Synthesis and Applications (3 papers). J.L. Crossland collaborates with scholars based in United States, Japan and China. J.L. Crossland's co-authors include David R. Tyler, Lev N. Zakharov, Nathaniel K. Szymczak, Darren W. Johnson, V.M. Cangelosi, Douglas M. Young, John D. Gilbertson, Warren K. Miller, David K. Lyon and Bruce M. Foxman and has published in prestigious journals such as Coordination Chemistry Reviews, Inorganic Chemistry and Chemical Science.

In The Last Decade

J.L. Crossland

12 papers receiving 513 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.L. Crossland 280 236 227 205 118 13 519
A. J. PEARMAN 211 0.8× 265 1.1× 263 1.2× 224 1.1× 159 1.3× 13 543
Brian J. Cook 197 0.7× 192 0.8× 193 0.9× 172 0.8× 134 1.1× 23 486
Daniel A. Kurtz 125 0.4× 359 1.5× 155 0.7× 135 0.7× 158 1.3× 21 608
Tina P. Fong 294 1.1× 105 0.4× 319 1.4× 53 0.3× 89 0.8× 10 520
Matthew V. Vollmer 362 1.3× 174 0.7× 370 1.6× 73 0.4× 87 0.7× 15 605
A. D. Allen 130 0.5× 83 0.4× 279 1.2× 110 0.5× 142 1.2× 15 542
Markus G. Scheibel 373 1.3× 151 0.6× 359 1.6× 121 0.6× 90 0.8× 12 553
David W. Boyce 286 1.0× 158 0.7× 160 0.7× 87 0.4× 175 1.5× 8 498
Alon Chapovetsky 155 0.6× 393 1.7× 144 0.6× 180 0.9× 143 1.2× 14 616
J. Schoffel 273 1.0× 189 0.8× 280 1.2× 82 0.4× 64 0.5× 8 476

Countries citing papers authored by J.L. Crossland

Since Specialization
Citations

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

Fields of papers citing papers by J.L. Crossland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J.L. Crossland

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