Daniel Hewitt

1.2k citations
39 papers · 931 · h-index 17

Impact in

Papers in

Daniel Hewitt

36 papers receiving 828 citations

Peers

Daniel Hewitt
Comparison fields: 5 of 111
  • Pharmaceutical Science 54
  • Economics and Econometrics 236
  • Spectroscopy 130
  • Occupational Therapy 32
  • Radiology, Nuclear Medicine and Imaging 177
Replace Cheng Yang with:
Cheng Yang China
Karen Thompson United States
Zhihan Zhou China
Robert F. Higgins United States
Kōji Kubo Japan
Steven Maguire Canada
Axel Zweck Germany
Masaaki Hirooka Japan
Pankaj Sinha India
Daniel Hewitt relative to Cheng Yang China Cheng Yang's profile →
Citations per field
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Cheng Yang · 1×
Citations per year

Countries citing papers authored by Daniel Hewitt

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Hewitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014116
2 201098
3 202086
4 200873
5 199263
6 201054
7 201254
8 200252
9 198628
10 199125
11 200324
12 201224
13 201224
14 201219
15 201318
16 199317
17 198517
18 199115
19 199513
20 201812

About Daniel Hewitt

Daniel Hewitt is a scholar working on Economics and Econometrics, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Political Science and International Relations and Materials Chemistry, having authored 39 papers that have together received 931 indexed citations. Recurring topics across this work include Fiscal Policy and Economic Growth (18 papers), Defense, Military, and Policy Studies (12 papers), Economic Growth and Productivity (10 papers), Protein purification and stability (9 papers), Local Government Finance and Decentralization (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Analytical Chemistry and Chromatography (3 papers) and Gender, Labor, and Family Dynamics (3 papers). The work is most often cited by research in Pharmaceutical Science (54 citations), Economics and Econometrics (236 citations), Spectroscopy (130 citations), Occupational Therapy (32 citations) and Radiology, Nuclear Medicine and Imaging (177 citations). Daniel Hewitt has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Yung‐Hsiang Kao, Taylor Zhang, Junyan A. Ji, Kelly Zhang, Yi Li, Frank E. Osterloh, Ben Slater, Michael W. Laird, Kathryn Robinson and Y. John Wang. Their work appears in journals such as Analytical Chemistry, Biotechnology Progress, Journal of Chromatography A, Journal of Public Policy and British Journal of Cancer.

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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