Mark A. Milad

22 papers receiving 945 citations

Peers

Mark A. Milad
Comparison fields: 5 of 95
  • Pharmacology 189
  • Endocrinology, Diabetes and Metabolism 187
  • Rheumatology 143
  • Surgery 333
  • Cancer Research 100
Replace Michael V. Holmes with:
Michael V. Holmes United Kingdom
Zhaoqing Wang United States
Eleni Theocharidou United Kingdom
Richard A. Castro United States
Gagan Sood United States
Song Ren China
Markus G. Donner Germany
Marjatta Antikainen Finland
Claire Siemes Netherlands
Céline Narjoz France
Mark A. Milad relative to Michael V. Holmes United Kingdom Michael V. Holmes's profile →
Citations per field
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Citations per year

Countries citing papers authored by Mark A. Milad

Since Specialization
Citations

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

Fields of papers citing papers by Mark A. Milad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark A. Milad. 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 Mark A. Milad. The network helps show where Mark A. Milad may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005165
2 2014155
3 2014135
4 1993133
5 201958
6 200355
7 200553
8 199431
9 201931
10 199230
11 202119
12 200419
13 200516
14 202114
15 201914
16 20229
17 19948
18 20236
19
Methylprednisolone pharmacokinetics and pharmacodynamics in chronic renal failure.
19956
20 20236

About Mark A. Milad

Mark A. Milad is a scholar working on Pediatrics, Perinatology and Child Health, Pulmonary and Respiratory Medicine, Endocrinology, Diabetes and Metabolism, Surgery and Pharmacology, having authored 24 papers that have together received 966 indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (6 papers), Pharmacological Effects and Toxicity Studies (3 papers), Pharmacogenetics and Drug Metabolism (3 papers), Lipoproteins and Cardiovascular Health (3 papers), Hormonal and reproductive studies (2 papers), Infant Development and Preterm Care (2 papers), Pregnancy and preeclampsia studies (2 papers) and Reproductive Health and Contraception (2 papers). The work is most often cited by research in Pharmacology (189 citations), Endocrinology, Diabetes and Metabolism (187 citations), Rheumatology (143 citations), Surgery (333 citations) and Cancer Research (100 citations). Mark A. Milad has collaborated with scholars based in United States, Australia and Singapore. Frequent co-authors include William J. Jusko, Elizabeth Ludwig, Elliott Middleton, Alan H. Jobe, Kathleen A. Donovan, James J. Ferry, Thomas Peppard, Alice Ke, Poul Strange and Roger S. Newton. Their work appears in journals such as American Journal of Physiology-Lung Cellular and Molecular Physiology, Clinical Pharmacology & Therapeutics, Drug Metabolism and Disposition, Journal of Pharmacology and Experimental Therapeutics and The Pharmacogenomics Journal.

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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