Nathaniel S. Sickerman

671 citations
20 papers · 528 indexed · h-index 15
Topics
Metalloenzymes and iron-sulfur proteins (16 papers)Metal-Catalyzed Oxygenation Mechanisms (9 papers)Electrocatalysts for Energy Conversion (7 papers)
Partner nations
United StatesJapan

In The Last Decade

Nathaniel S. Sickerman

20 papers receiving 527 citations

Peers

Nathaniel S. Sickerman
Comparison fields: 5 of 49
  • Renewable Energy, Sustainability and the Environment 328
  • Inorganic Chemistry 223
  • Catalysis 150
  • Materials Chemistry 149
  • Organic Chemistry 89
Replace Hai T. Dong with:
Hai T. Dong United States
Kazuki Tanifuji United States
Daniel Sippel Germany
Jarett Wilcoxen United States
Christian Trncik Germany
S.M. Mayer United States
Jared A. Wiig United States
Jason Christiansen United States
Daniel A. Kopp United States
Gannon P. Connor United States
Nathaniel S. Sickerman relative to Hai T. Dong United States Hai T. Dong's profile →
Citations per field
00.5×7.3×
Hai T. Dong · 1×
Citations per year

Countries citing papers authored by Nathaniel S. Sickerman

Since Specialization
Citations

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

Fields of papers citing papers by Nathaniel S. Sickerman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nathaniel S. Sickerman. 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 Nathaniel S. Sickerman. The network helps show where Nathaniel S. Sickerman may publish in the future.

Co-authorship network of co-authors of Nathaniel S. Sickerman

This figure shows the co-authorship network connecting the top 25 collaborators of Nathaniel S. Sickerman. A scholar is included among the top collaborators of Nathaniel S. Sickerman 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 Nathaniel S. Sickerman. Nathaniel S. Sickerman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 6
2 9
3 18
4 50
5 26
6 57
7 6
8 32
9 20
10 24
11 32
12 25
13 6
14 14
15 42
16 24
17 82
18 7
19 26
20 22

About Nathaniel S. Sickerman

Nathaniel S. Sickerman is a scholar working on Renewable Energy, Sustainability and the Environment, Inorganic Chemistry and Catalysis, having authored 20 papers that have together received 528 indexed citations. Recurring topics across this work include Metalloenzymes and iron-sulfur proteins (16 papers), Metal-Catalyzed Oxygenation Mechanisms (9 papers) and Electrocatalysts for Energy Conversion (7 papers). The work is most often cited by research in Catalysis (150 citations), Renewable Energy, Sustainability and the Environment (328 citations) and Inorganic Chemistry (223 citations). Nathaniel S. Sickerman has collaborated with scholars based in United States and Japan. Frequent co-authors include Yilin Hu, Markus W. Ribbe, Kazuki Tanifuji, Joseph W. Ziller, A. S. Borovik, Yasuhiro Ohki, Young Jun Park, Chi Chung Lee, Kazuyuki Tatsumi and Yohei Sano. Their work appears in journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Accounts of Chemical Research.

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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