Danielle L. Gray

2.5k citations
83 papers · 2.1k indexed · h-index 24

Danielle L. Gray

82 papers receiving 2.1k citations

Peers

Danielle L. Gray
Comparison fields: 5 of 100
  • Inorganic Chemistry 685
  • Renewable Energy, Sustainability and the Environment 725
  • Process Chemistry and Technology 82
  • Organic Chemistry 701
  • Materials Chemistry 737
Replace David Schilter with:
David Schilter United States
Pascual Oña‐Burgos Spain
Xiaoming Liu China
Liliana P. Ferreira Portugal
Emma Carter United Kingdom
Adeel Hussain Chughtai Pakistan
Maria Deus Carvalho Portugal
Sonja Pullen Sweden
Jun Miao China
Michael W. Ambrogio United States
Danielle L. Gray relative to David Schilter United States David Schilter's profile →
Citations per field
00.5×1.5×1.9×
David Schilter · 1×
Citations per year

Countries citing papers authored by Danielle L. Gray

Since Specialization
Citations

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

Fields of papers citing papers by Danielle L. Gray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Danielle L. Gray, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Danielle L. Gray Line = papers co-authored together Danielle L. Gray links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 202420
3 20236
4 202293
5 20213
6 202119
7 202122
8 20211
9 20207
10 201840
11 201822
12 201710
13 20174
14 20153
15 20154
16 2014128
17 20143
18 201426
19 20121
20 20118

About Danielle L. Gray

Danielle L. Gray is a scholar working on Inorganic Chemistry, Electronic, Optical and Magnetic Materials, Renewable Energy, Sustainability and the Environment, Organic Chemistry and Condensed Matter Physics, having authored 83 papers that have together received 2.1k indexed citations. Recurring topics across this work include Metalloenzymes and iron-sulfur proteins (17 papers), Metal-Organic Frameworks: Synthesis and Applications (11 papers), Metal complexes synthesis and properties (11 papers), Crystal Structures and Properties (10 papers), Asymmetric Hydrogenation and Catalysis (9 papers), Magnetism in coordination complexes (9 papers), Electrocatalysts for Energy Conversion (7 papers) and Organometallic Complex Synthesis and Catalysis (7 papers). The work is most often cited by research in Inorganic Chemistry (685 citations), Renewable Energy, Sustainability and the Environment (725 citations), Process Chemistry and Technology (82 citations), Organic Chemistry (701 citations) and Materials Chemistry (737 citations). Danielle L. Gray has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Thomas B. Rauchfuss, Bryan E. Barton, C. Matthew Whaley, Jeffrey S. Moore, Toby J. Woods, James A. Ibers, David Schilter, Severin T. Schneebeli, Adam C. Whalley and Giuseppe Zampella. Their work appears in journals such as Inorganic Chemistry, Organometallics, Journal of the American Chemical Society, Chemistry of Materials and European Journal of Inorganic Chemistry.

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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