Gerald H. Lushington

4.6k citations
163 papers · 3.8k indexed · h-index 35
Topics
Computational Drug Discovery Methods (22 papers)Chemical Synthesis and Analysis (18 papers)Bioinformatics and Genomic Networks (12 papers)

In The Last Decade

Gerald H. Lushington

157 papers receiving 3.7k citations

Peers

Gerald H. Lushington
Comparison fields: 5 of 155
  • Molecular Biology 1.4k
  • Organic Chemistry 1.2k
  • Spectroscopy 369
  • Infectious Diseases 362
  • Atomic and Molecular Physics, and Optics 329
Replace Andreas W. Götz with:
Andreas W. Götz United States
Michał Rostkowski Poland
Chresten R. Søndergaard Ireland
Patrick J. Loll United States
Jens Erik Nielsen Ireland
Jaroslav Koča Czechia
J. Michael Word United States
Lauren Wickstrom United States
Eva Darian United States
Kevin Hauser United States
Gerald H. Lushington relative to Andreas W. Götz United States Andreas W. Götz's profile →
Citations per field
00.5×1.5×
Andreas W. Götz · 1×
Citations per year

Countries citing papers authored by Gerald H. Lushington

Since Specialization
Citations

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

Fields of papers citing papers by Gerald H. Lushington

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gerald H. Lushington. 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 Gerald H. Lushington. The network helps show where Gerald H. Lushington may publish in the future.

Co-authorship network of co-authors of Gerald H. Lushington

This figure shows the co-authorship network connecting the top 25 collaborators of Gerald H. Lushington. A scholar is included among the top collaborators of Gerald H. Lushington 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 Gerald H. Lushington. Gerald H. Lushington 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 0
2 2
3 2
4 1
5 92
6 18
7 11
8 34
9 18
10 37
11 10
12 45
13 20
14 12
15 4
16
Reliable Prescreening of Candidate NerveAgent Prophylaxes via 3D QSAR
0
17 16
18 8
19 87
20 91

About Gerald H. Lushington

Gerald H. Lushington is a scholar working on Computational Mathematics, Organic Chemistry and Computational Theory and Mathematics, having authored 163 papers that have together received 3.8k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (22 papers), Chemical Synthesis and Analysis (18 papers) and Bioinformatics and Genomic Networks (12 papers). The work is most often cited by research in Organic Chemistry (1.2k citations), Biophysics (145 citations) and Spectroscopy (369 citations). Gerald H. Lushington has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Friedrich Grein, Benjamin Neuenswander, Richard C. Larock, William C. Groutas, Roland Seifert, Tung‐Chung Mou, Kevin R. Alliston, Zhixiong Guo, Andreas Gille and Paul R. Hanson. Their work appears in journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Angewandte Chemie International Edition.

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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