John E. Hogan

4.3k citations
43 papers · 3.1k · h-index 24

Impact in

    • Drug Solubulity and Delivery Systems
    • Advanced Drug Delivery Systems
  • Marketing top 1%
    • Consumer Market Behavior and Pricing
    • Consumer Retail Behavior Studies

Papers in

John E. Hogan

42 papers receiving 2.8k citations

Peers

John E. Hogan
Comparison fields: 5 of 149
  • Pharmaceutical Science 1.4k
  • Marketing 701
  • Organizational Behavior and Human Resource Management 616
  • Molecular Medicine 249
  • Analytical Chemistry 356
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Citations per field
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Citations per year

Countries citing papers authored by John E. Hogan

Since Specialization
Citations

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

Fields of papers citing papers by John E. Hogan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John E. Hogan. 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 John E. Hogan. The network helps show where John E. Hogan may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Using Complex Systems Analysis to Advance Marketing Theory Development: Modeling Heterogeneity Effects on New Product Growth through Stochastic Cellular Automata
2001278
2 1987244
3 1985234
4 2003206
5 2002187
6 2004176
7 2002149
8 1990148
9 1991139
10 1985127
11 2001118
12 1981110
13 1989109
14 200285
15 199381
16 199367
17 199962
18 199362
19 199356
20 200153

About John E. Hogan

John E. Hogan is a scholar working on Pharmaceutical Science, Strategy and Management, Organizational Behavior and Human Resource Management, Molecular Medicine and Marketing, having authored 43 papers that have together received 3.1k indexed citations. Recurring topics across this work include Drug Solubulity and Delivery Systems (17 papers), Advanced Drug Delivery Systems (11 papers), Customer Service Quality and Loyalty (7 papers), Advancements in Transdermal Drug Delivery (5 papers), Hydrogels: synthesis, properties, applications (5 papers), Digital Platforms and Economics (4 papers), Material Properties and Processing (4 papers) and Labor Movements and Unions (3 papers). The work is most often cited by research in Pharmaceutical Science (1.4k citations), Marketing (701 citations), Organizational Behavior and Human Resource Management (616 citations), Molecular Medicine (249 citations) and Analytical Chemistry (356 citations). John E. Hogan has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include James L. C. Ford, Katherine N. Lemon, Barak Libai, Peter Elliott, David Armstrong, Karen Mitchell, Michael H. Rubinstein, Michael E. Aulton, Roland T. Rust and Christopher Rostron. Their work appears in journals such as International Journal of Pharmaceutics, Journal of Service Research, Journal of Business and Industrial Marketing, Critical Perspectives on International Business and Labor History.

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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