Gary H. Ward

19 papers receiving 772 citations

Peers

Gary H. Ward
Comparison fields: 5 of 130
  • Pharmaceutical Science 206
  • Demography 199
  • Transportation 99
  • Filtration and Separation 20
  • General Agricultural and Biological Sciences 44
Replace Milica Marković with:
Milica Marković Israel
Qingxi Wang China
Εva Karlsson Sweden
J. Schubert Poland
Jianming Xu China
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Gary H. Ward relative to Milica Marković Israel Milica Marković's profile →
Citations per field
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Citations per year

Countries citing papers authored by Gary H. Ward

Since Specialization
Citations

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

Fields of papers citing papers by Gary H. Ward

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000264
2 1995186
3 199889
4 200147
5 199244
6 200642
7 199837
8 200231
9 199324
10
Studies in phlebitis. VI: Dilution-induced precipitation of amiodarone HCL.
199322
11 199114
12 201013
13 199413
14 199112
15
Studies in phlebitis. IV: Injection rate and amiodarone-induced phlebitis.
199310
16
Studies in phlebitis. V: Hemolysis as a model for phlebitis.
19939
17 19764
18 19983
19 20171
20 20250

About Gary H. Ward

Gary H. Ward is a scholar working on Demography, Biomedical Engineering, Sociology and Political Science, Pharmaceutical Science and Epidemiology, having authored 21 papers that have together received 865 indexed citations. Recurring topics across this work include Migration, Aging, and Tourism Studies (4 papers), Migration and Labor Dynamics (3 papers), Drug Solubulity and Delivery Systems (2 papers), Analytical Chemistry and Chromatography (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Chemical and Physical Properties in Aqueous Solutions (2 papers), Virology and Viral Diseases (2 papers) and Infrared Thermography in Medicine (2 papers). The work is most often cited by research in Pharmaceutical Science (206 citations), Demography (199 citations), Transportation (99 citations), Filtration and Separation (20 citations) and General Agricultural and Biological Sciences (44 citations). Gary H. Ward has collaborated with scholars based in United States, Australia and New Zealand. Frequent co-authors include Martin Bell, Samuel H. Yalkowsky, Joseph F. Krzyzaniak, Paul B. Myrdal, Sarvajna Dwivedi, Rose‐Marie Dannenfelser, Pahala Simamora, Dinesh Kumar Mishra, Elaine M. Phillips and Paul E. Nolan. Their work appears in journals such as Pharmaceutical Research, Vaccine, Journal of Pharmaceutical Sciences, Global Ecology and Conservation and International Journal of Pharmaceutics.

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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