Barbara Baird

13.8k citations
194 papers · 11.0k indexed · 2 hit papers · h-index 56

Barbara Baird

192 papers receiving 10.7k citations

Hit Papers

Large-scale fluid/fluid phase separation of proteins and ...6502004202620112018250500750

Peers

Barbara Baird
Comparison fields: 5 of 168
  • Immunology and Allergy 893
  • Biophysics 794
  • Immunology 2.4k
  • Cell Biology 1.6k
  • Molecular Biology 6.6k
Replace David Holowka with:
David Holowka United States
Paul M.P. van Bergen en Henegouwen Netherlands
Michael Edidin United States
Katherine Luby‐Phelps United States
Katharina Gaus Australia
Jay T. Groves United States
Satyajit Mayor India
Iain D. Campbell United Kingdom
Ilya Levental United States
Bridget S. Wilson United States
Barbara Baird relative to David Holowka United States David Holowka's profile →
Citations per field
00.5×1.5×2.5×
David Holowka · 1×
Citations per year

Countries citing papers authored by Barbara Baird

Since Specialization
Citations

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

Fields of papers citing papers by Barbara Baird

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202132
2 202113
3 202014
4 20172
5 201627
6 201354
7 201112
8 201131
9 2009102
10 200813
11 200728
12
Large-scale fluid/fluid phase separation of proteins and lipids in giant plasma membrane vesiclesbreakdown →
2007650
13 200771
14 2006241
15 2005260
16 200546
17 2005117
18 200039
19 1999117
20 199126

About Barbara Baird

Barbara Baird is a scholar working on Immunology and Allergy, Radiology, Nuclear Medicine and Imaging, Immunology, Biophysics and Sensory Systems, having authored 194 papers that have together received 11.0k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (75 papers), Mast cells and histamine (42 papers), Lipid Membrane Structure and Behavior (42 papers), Receptor Mechanisms and Signaling (24 papers), Cellular transport and secretion (18 papers), Cell Adhesion Molecules Research (18 papers), Glycosylation and Glycoproteins Research (17 papers) and Erythrocyte Function and Pathophysiology (15 papers). The work is most often cited by research in Immunology and Allergy (893 citations), Biophysics (794 citations), Immunology (2.4k citations), Cell Biology (1.6k citations) and Molecular Biology (6.6k citations). Barbara Baird has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include David Holowka, Erin D. Sheets, Prabuddha Sengupta, Watt W. Webb, Kenneth A. Field, David A. Holowka, Ulrich Wiesner, Adam T. Hammond, Daniel R. Larson and Tobias Baumgart. Their work appears in journals such as Biochemistry, Biophysical Journal, Journal of Biological Chemistry, The Journal of Immunology and Journal of Cell Science.

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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