James D. Hulse

31 papers receiving 2.1k citations

James D. Hulse's Hit Papers

Bioanalytical Method Validation—A Revisit with a Decade of Progress 2000 · 1.4k citations
1.4k0+8+17Years since publication4008001.2k

Peers

James D. Hulse
Comparison fields: 5 of 120
  • Toxicology 141
  • Analytical Chemistry 296
  • Pharmacology 374
  • Pharmacology 199
  • Clinical Biochemistry 141
Replace Aziz Karim with:
Aziz Karim United States
Susan M. Pond Australia
Emil T. Lin United States
Michael Mayersohn United States
George F. Johnson United States
Avraham Yacobi United States
C.T. Viswanathan United States
R Gugler Germany
Georges Houin France
In‐Jin Jang South Korea
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Citations per year

Countries citing papers authored by James D. Hulse

Since Specialization
Citations

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

Fields of papers citing papers by James D. Hulse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James D. Hulse. 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 James D. Hulse. The network helps show where James D. Hulse may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Bioanalytical Method Validation—A Revisit with a Decade of Progress
Hit paper breakdown →
20001355
2 1978162
3 199980
4 199566
5 198962
6 198353
7 198253
8 198741
9 198040
10 198932
11 199631
12 199529
13 198628
14 198621
15 198921
16 199420
17 199518
18 198718
19 199616
20 199815

About James D. Hulse

James D. Hulse is a scholar working on Anesthesiology and Pain Medicine, Analytical Chemistry, Pharmacology, Pediatrics, Perinatology and Child Health and Clinical Biochemistry, having authored 31 papers that have together received 2.2k indexed citations. Recurring topics across this work include Analytical Methods in Pharmaceuticals (8 papers), Anesthesia and Sedative Agents (7 papers), Antibiotics Pharmacokinetics and Efficacy (6 papers), Analytical Chemistry and Chromatography (5 papers), Metabolism and Genetic Disorders (4 papers), Cardiac electrophysiology and arrhythmias (2 papers), Amino Acid Enzymes and Metabolism (2 papers) and Forensic Toxicology and Drug Analysis (2 papers). The work is most often cited by research in Toxicology (141 citations), Analytical Chemistry (296 citations), Pharmacology (374 citations), Pharmacology (199 citations) and Clinical Biochemistry (141 citations). James D. Hulse has collaborated with scholars based in United States, Germany and Thailand. Frequent co-authors include Avraham Yacobi, Howard Hill, Alfred Tonelli, Vinod P. Shah, John W. A. Findlay, Kamal K. Midha, Mark L. Powell, C.T. Viswanathan, Rabindra Patnaik and Gordon McKay. Their work appears in journals such as The Journal of Clinical Pharmacology, Journal of Pharmaceutical and Biomedical Analysis, Clinical Pharmacology & Therapeutics, Journal of Biological Chemistry and The Journal of Pediatrics.

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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