Mark A. Milad

22 papers receiving 956 citations

Peers

Mark A. Milad
Comparison fields: 5 of 92
  • Pharmacology 172
  • Endocrinology, Diabetes and Metabolism 134
  • Rheumatology 118
  • Surgery 265
  • Oncology 147
Replace Michael V. Holmes with:
Michael V. Holmes United Kingdom
Petra Obermayer–Straub Germany
Yuichi Kikuchi Japan
Jessica Dyson United Kingdom
Meera Tugnait United States
P Bories France
Eric J. Stanek United States
Maria Alice V. Willrich United States
Renée E. Poupon France
Richard A. Castro United States
Mark A. Milad relative to Michael V. Holmes United Kingdom Michael V. Holmes's profile →
Citations per field
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Michael V. Holmes · 1×
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 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005165
2 2014156
3 2014136
4 1993133
5 201958
6 200355
7 200553
8 201931
9 199431
10 199230
11 202121
12 200419
13 200517
14 202114
15 201914
16 202210
17 20238
18 19948
19 20236
20
Methylprednisolone pharmacokinetics and pharmacodynamics in chronic renal failure.
19956

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 25 papers that have together received 974 indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (6 papers), Pharmacogenetics and Drug Metabolism (3 papers), Pharmacological Effects and Toxicity Studies (3 papers), Hormonal and reproductive studies (2 papers), Preterm Birth and Chorioamnionitis (2 papers), Drug Transport and Resistance Mechanisms (2 papers), Pregnancy and preeclampsia studies (2 papers) and Infant Nutrition and Health (2 papers). The work is most often cited by research in Pharmacology (172 citations), Endocrinology, Diabetes and Metabolism (134 citations), Rheumatology (118 citations), Surgery (265 citations) and Oncology (147 citations). Mark A. Milad has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include William J. Jusko, Elizabeth Ludwig, Elliott Middleton, Alan H. Jobe, James J. Ferry, Kathleen A. Donovan, Thomas Peppard, Alice Ke, Scott McBride and Poul Strange. Their work appears in journals such as American Journal of Physiology-Lung Cellular and Molecular Physiology, Drug Metabolism and Disposition, Clinical Pharmacology & Therapeutics, The Pharmacogenomics Journal and Journal of Pharmacology and Experimental Therapeutics.

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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