Daniel Goodwin

1.2k citations
42 papers · 960 · h-index 19

Impact in

Papers in

Daniel Goodwin

40 papers receiving 930 citations

Peers

Daniel Goodwin
Comparison fields: 5 of 132
  • Pharmaceutical Science 305
  • Analytical Chemistry 132
  • Energy Engineering and Power Technology 26
  • Biophysics 41
  • Industrial and Manufacturing Engineering 53
Replace Haiyan Qu with:
Haiyan Qu Denmark
Jonas Sjöblom Sweden
Ryan Gosselin Canada
Xuening Fei China
Bernardo Castro‐Dominguez United Kingdom
Lijun Li China
Meixia Wang China
Shaochuan Shen China
João Almeida Portugal
Daniel Goodwin relative to Haiyan Qu Denmark Haiyan Qu's profile →
Citations per field
00.5×8.7×
Haiyan Qu · 1×
Citations per year

Countries citing papers authored by Daniel Goodwin

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Goodwin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015103
2 202077
3 202062
4 201760
5 201959
6 201758
7 200754
8 201750
9 201749
10 202037
11 201035
12 201733
13 201328
14 201827
15 202227
16 201727
17 202427
18 201722
19 201519
20 201516

About Daniel Goodwin

Daniel Goodwin is a scholar working on Pharmaceutical Science, Spectroscopy, Sociology and Political Science, Electrical and Electronic Engineering and Biomedical Engineering, having authored 42 papers that have together received 960 indexed citations. Recurring topics across this work include Drug Solubulity and Delivery Systems (13 papers), Analytical Chemistry and Chromatography (8 papers), Protein purification and stability (4 papers), Crystallization and Solubility Studies (4 papers), Terahertz technology and applications (4 papers), Spectroscopy and Chemometric Analyses (3 papers), Energy and Environment Impacts (3 papers) and Agricultural risk and resilience (3 papers). The work is most often cited by research in Pharmaceutical Science (305 citations), Analytical Chemistry (132 citations), Energy Engineering and Power Technology (26 citations), Biophysics (41 citations) and Industrial and Manufacturing Engineering (53 citations). Daniel Goodwin has collaborated with scholars based in United Kingdom, Australia and Thailand. Frequent co-authors include J. Axel Zeitler, Daniel Markl, Andrew Anderson, Heather Smith, Paul Jeffrey, D.I. Wilson, M. Jayne Lawrence, Luigi G. Martini, S.J. Holland and Melanie Dumarey. Their work appears in journals such as International Journal of Pharmaceutics, Journal of Pharmaceutical Sciences, Pharmaceutical Research, Molecular Pharmaceutics and Journal of Hydrology.

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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