Darrel Good

120 papers receiving 1.7k citations

Darrel Good's Hit Papers

Solvent viscosity and protein dynamics 1980 · 546 citations
5460+15+30Years since publication100200300400500

Peers

Darrel Good
Comparison fields: 5 of 137
  • General Agricultural and Biological Sciences 282
  • Cell Biology 498
  • Soil Science 256
  • General Economics, Econometrics and Finance 204
  • Economics and Econometrics 590
Replace Roland Herrmann with:
Roland Herrmann Germany
Katharine M. Mullen United States
Zhengfeng Zhang China
William F. Long United Kingdom
Michael Hodges France
Niraj Verma United States
E. J. Williams United Kingdom
Colin Macilwain United States
Gavin Smith Canada
Stephen Bond United States
Darrel Good relative to Roland Herrmann Germany Roland Herrmann's profile →
Citations per field
00.5×10.0×
Roland Herrmann · 1×
Citations per year

Countries citing papers authored by Darrel Good

Since Specialization
Citations

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

Fields of papers citing papers by Darrel Good

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Darrel Good. 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 Darrel Good. The network helps show where Darrel Good may publish in the future.

Co-authors

The 25 scholars most cited alongside Darrel Good, 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 Darrel Good Line = papers co-authored together Darrel Good links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 199 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Solvent viscosity and protein dynamics
Hit paper breakdown →
1980546
2 1982137
3 2002118
4 1978115
5 200858
6 198157
7 198051
8 201150
9 200845
10 200341
11 200539
12 200936
13 198336
14 200836
15 200626
16 200824
17 200823
18 197820
19 200919
20 200418

About Darrel Good

Darrel Good is a scholar working on General Agricultural and Biological Sciences, Economics and Econometrics, Soil Science, Agronomy and Crop Science and Biomedical Engineering, having authored 199 papers that have together received 2.0k indexed citations. Recurring topics across this work include Agricultural Economics and Policy (61 papers), Economics of Agriculture and Food Markets (45 papers), Agricultural risk and resilience (27 papers), Crop Yield and Soil Fertility (21 papers), Market Dynamics and Volatility (20 papers), SAS software applications and methods (17 papers), Monetary Policy and Economic Impact (11 papers) and Biofuel production and bioconversion (11 papers). The work is most often cited by research in General Agricultural and Biological Sciences (282 citations), Cell Biology (498 citations), Soil Science (256 citations), General Economics, Econometrics and Finance (204 citations) and Economics and Econometrics (590 citations). Darrel Good has collaborated with scholars based in United States, Netherlands and Brazil. Frequent co-authors include Scott H. Irwin, L. Eisenstein, Hans Frauenfelder, A. H. Reynolds, M.C. Marden, Lou Reinisch, K. T. Yue, D. Beece, L. B. Sorensen and Olga Isengildina‐Massa. Their work appears in journals such as American Journal of Agricultural Economics, Agribusiness, Biochemistry, Annual Review of Physiology and Journal of Geophysical Research Atmospheres.

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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