David Good

33 papers receiving 1.2k citations

David Good's Hit Papers

Solubility Advantage of Pharmaceutical Cocrystals 2009 · 754 citations
7540+5+11Years since publication250500750

Peers

David Good
Comparison fields: 5 of 94
  • Physical and Theoretical Chemistry 680
  • Pharmaceutical Science 190
  • Materials Chemistry 729
  • Dermatology 87
  • Inorganic Chemistry 116
Replace Jan Čejka with:
Jan Čejka Czechia
Takashi Ikawa Japan
Miloslav Macháček Czechia
Joseph W. Lubach United States
Eric J. Munson United States
Anthony J. I. Ward United Kingdom
David W. Henry United States
Nadia Chouini–Lalanne France
Kunio Okamoto Japan
Michael Winkler United States
David Good relative to Jan Čejka Czechia Jan Čejka's profile →
Citations per field
00.5×10×14.5×
Jan Čejka · 1×
Citations per year

Countries citing papers authored by David Good

Since Specialization
Citations

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

Fields of papers citing papers by David Good

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Solubility Advantage of Pharmaceutical Cocrystals
Hit paper breakdown →
2009754
2 2007115
3 201170
4 201838
5 200934
6 201029
7 201526
8 201619
9 201817
10 200817
11 201916
12 200815
13 201715
14 201714
15 201713
16 20159
17 20119
18 20158
19 20148
20 20228

About David Good

David Good is a scholar working on Pathology and Forensic Medicine, Hematology, Molecular Biology, Genetics and Oncology, having authored 36 papers that have together received 1.3k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (14 papers), Drug Solubulity and Delivery Systems (5 papers), Acute Myeloid Leukemia Research (5 papers), Chronic Lymphocytic Leukemia Research (5 papers), Viral-associated cancers and disorders (4 papers), Cutaneous lymphoproliferative disorders research (4 papers), Crystallization and Solubility Studies (4 papers) and Cancer Genomics and Diagnostics (3 papers). The work is most often cited by research in Physical and Theoretical Chemistry (680 citations), Pharmaceutical Science (190 citations), Materials Chemistry (729 citations), Dermatology (87 citations) and Inorganic Chemistry (116 citations). David Good has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Naír Rodríguez‐Hornedo, Adivaraha Jayasankar, Randy D. Gascoyne, Michael J. Rauh, John R. Crison, Fazlur Rahman, Richard Burack, Jane L. Liesveld, Nikolay Dimov and John M. Bennett. Their work appears in journals such as Blood, Hematology/Oncology Clinics of North America, Leukemia Research, Molecular Pharmaceutics and Journal of Pharmaceutical Sciences.

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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