Janice Branson

1.2k citations
14 papers · 230 · h-index 9

Impact in

  • Pharmacology top 10%
    • Inflammatory mediators and NSAID effects
    • Pharmacogenetics and Drug Metabolism
    • Eicosanoids and Hypertension Pharmacology

Papers in

Janice Branson

14 papers receiving 224 citations

Peers

Janice Branson
Comparison fields: 5 of 72
  • Pharmacology 78
  • Biochemistry 22
  • Statistics and Probability 23
  • Health Informatics 3
  • Gastroenterology 10
Replace Peng-Liang Zhao with:
Peng-Liang Zhao United States
Hanna E. Silber Sweden
Jong-Gu Lee South Korea
Marios A. G. Viana United States
Karla Claudio‐Campos Puerto Rico
Gregory McInnes United States
Lester Reich United States
Yasuo Kodama Japan
C. L. Vnencak-Jones United States
Audrey D. Zhang United States
Janice Branson relative to Peng-Liang Zhao United States Peng-Liang Zhao's profile →
Citations per field
00.5×11.5×
Peng-Liang Zhao · 1×
Citations per year

Countries citing papers authored by Janice Branson

Since Specialization
Citations

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

Fields of papers citing papers by Janice Branson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 202144
2 200338
3 200436
4 202024
5 200421
6 200421
7 202013
8 200511
9 20249
10 20224
11 20244
12 20222
13 20012
14 20211

About Janice Branson

Janice Branson is a scholar working on Pharmacology, Statistics and Probability, Economics and Econometrics, Information Systems and Management and Management Science and Operations Research, having authored 14 papers that have together received 230 indexed citations. Recurring topics across this work include Inflammatory mediators and NSAID effects (4 papers), Statistical Methods in Clinical Trials (3 papers), Biosimilars and Bioanalytical Methods (2 papers), Biomedical Ethics and Regulation (2 papers), Scientific Computing and Data Management (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Statistics Education and Methodologies (1 paper) and Venous Thromboembolism Diagnosis and Management (1 paper). The work is most often cited by research in Pharmacology (78 citations), Biochemistry (22 citations), Statistics and Probability (23 citations), Health Informatics (3 citations) and Gastroenterology (10 citations). Janice Branson has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include Christiane Rordorf, Chris Harbron, Slavica Milosavljev, Graham Scott, Matthew J. Ford, Stuart Mair, Norma Kellett, Alyson Connor, Emmanuel Zuber and Ian R. Wilding. Their work appears in journals such as Statistics in Biopharmaceutical Research, Pharmaceutical Research, Therapeutic Innovation & Regulatory Science, Drug Discovery Today and Clinical Gastroenterology and Hepatology.

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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