Daniel C. Hill

26 papers receiving 1.1k citations

Daniel C. Hill's Hit Papers

GEKKO Optimization Suite 2018 · 253 citations
2530+2+5Years since publication50100150200250

Peers

Daniel C. Hill
Comparison fields: 5 of 142
  • Energy Engineering and Power Technology 50
  • Radiology, Nuclear Medicine and Imaging 253
  • Oncology 290
  • Otorhinolaryngology 39
  • Inorganic Chemistry 112
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Daniel C. Hill relative to Jianjun Zhang China Jianjun Zhang's profile →
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Citations per year

Countries citing papers authored by Daniel C. Hill

Since Specialization
Citations

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

Fields of papers citing papers by Daniel C. Hill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Keratinocyte growth factor protects mice from chemotherapy and radiation-induced gastrointestinal injury and mortality.
1998303
2
GEKKO Optimization Suite
Hit paper breakdown →
2018253
3 2000188
4 1996107
5 199942
6 200042
7 200930
8 201127
9 200419
10 202219
11 201017
12 199717
13 202217
14 200117
15 202317
16 202415
17 20225
18 20235
19 20214
20 20204

About Daniel C. Hill

Daniel C. Hill is a scholar working on Organic Chemistry, Molecular Biology, Electrical and Electronic Engineering, Energy Engineering and Power Technology and Oncology, having authored 26 papers that have together received 1.2k indexed citations. Recurring topics across this work include Carbohydrate Chemistry and Synthesis (6 papers), Integrated Energy Systems Optimization (6 papers), Hybrid Renewable Energy Systems (5 papers), Glycosylation and Glycoproteins Research (4 papers), Metal complexes synthesis and properties (4 papers), Energy and Environment Impacts (3 papers), Radiopharmaceutical Chemistry and Applications (3 papers) and Microgrid Control and Optimization (2 papers). The work is most often cited by research in Energy Engineering and Power Technology (50 citations), Radiology, Nuclear Medicine and Imaging (253 citations), Oncology (290 citations), Otorhinolaryngology (39 citations) and Inorganic Chemistry (112 citations). Daniel C. Hill has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include John D. Hedengren, Ronald E. Martin, Logan Beal, Gary R. Weisman, Edward H. Wong, David Reed, Mark E. Rogers, Joseph C. Calabrese, Peter A. Petillo and Arnold L. Rheingold. Their work appears in journals such as The Journal of Organic Chemistry, Journal of Medicinal Chemistry, Nuclear Engineering and Design, Journal of Energy Storage and Journal of Chemical & Engineering Data.

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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