Michaela K. Farber

1.2k citations
70 papers · 647 · h-index 12

Impact in

Papers in

Michaela K. Farber

62 papers receiving 637 citations

Peers

Michaela K. Farber
Comparison fields: 5 of 74
  • Obstetrics and Gynecology 180
  • Pediatrics, Perinatology and Child Health 296
  • Critical Care and Intensive Care Medicine 50
  • Genetics 98
  • Hematology 74
Replace Joanne Douglas with:
Joanne Douglas Canada
Rivka Farkash Israel
Ally Murji Canada
Masamitsu Nakamura Japan
Gary R. Cohen United States
Pieter J. van Runnard Heimel Netherlands
Christina C. Hill United States
G. Beucher France
Myoung Ock Ahn United States
Oluş Api Türkiye
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Citations per field
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Citations per year

Countries citing papers authored by Michaela K. Farber

Since Specialization
Citations

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

Fields of papers citing papers by Michaela K. Farber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michaela K. Farber. 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 Michaela K. Farber. The network helps show where Michaela K. Farber may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019110
2 1985101
3 202043
4 201841
5 202018
6 201918
7 201917
8 199016
9 201315
10 201513
11 201811
12 201611
13 201211
14 202210
15 20219
16 20239
17 20219
18 20109
19 20159
20 20219

About Michaela K. Farber

Michaela K. Farber is a scholar working on Pediatrics, Perinatology and Child Health, Obstetrics and Gynecology, Surgery, Cardiology and Cardiovascular Medicine and Emergency Medicine, having authored 70 papers that have together received 647 indexed citations. Recurring topics across this work include Maternal and fetal healthcare (28 papers), Pregnancy and preeclampsia studies (9 papers), Maternal and Perinatal Health Interventions (9 papers), Cardiovascular Issues in Pregnancy (7 papers), Anesthesia and Pain Management (6 papers), Trauma, Hemostasis, Coagulopathy, Resuscitation (6 papers), Trauma and Emergency Care Studies (5 papers) and Blood Coagulation and Thrombosis Mechanisms (3 papers). The work is most often cited by research in Obstetrics and Gynecology (180 citations), Pediatrics, Perinatology and Child Health (296 citations), Critical Care and Intensive Care Medicine (50 citations), Genetics (98 citations) and Hematology (74 citations). Michaela K. Farber has collaborated with scholars based in United States, Mexico and United Kingdom. Frequent co-authors include Sharon C. Reale, Brian T. Bateman, Matthew Koshy, Mario I. Lumbreras‐Marquez, Timothy P. Kinney, Xinling Xu, Sarah Rae Easter, Daniela Carusi, William Camann and Lawrence C. Tsen. Their work appears in journals such as International Journal of Obstetric Anesthesia, Anesthesia & Analgesia, International Journal of Gynecology & Obstetrics, American Journal of Obstetrics and Gynecology and Anesthesiology.

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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