A.B. Feldman

12 papers receiving 456 citations

Peers

A.B. Feldman
Comparison fields: 5 of 81
  • Endocrinology, Diabetes and Metabolism 313
  • Surgery 205
  • Genetics 85
  • Modeling and Simulation 9
  • Parasitology 12
Replace Fabienne Mestrez with:
Fabienne Mestrez Belgium
Janet L. Kelly United States
Didier Morel United States
Jochen Sieber Germany
Sherry Martin United States
Jonas Kildegaard Denmark
Jonathan H. Addy Ghana
Shinya Taniguchi Japan
Leili Rahimi United States
Yaiza Forcada United Kingdom
A.B. Feldman relative to Fabienne Mestrez Belgium Fabienne Mestrez's profile →
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Countries citing papers authored by A.B. Feldman

Since Specialization
Citations

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

Fields of papers citing papers by A.B. Feldman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2012318
2 200265
3 200443
4 200319
5
Proinflammatory cytokines in a mouse model of central retinal artery occlusion.
200914
6 200113
7 20232
8
A fully-automated peak extraction and baseline estimation method for high-throughput MALDI-TOF-MS-based detection of biological agents
20022
9 20021
10 20021
11
Rapid detection of malaria parasites
20101
12
Rapid detection of malaria parasites in blood by high throughput laser desorption mass spectrometry
20021
13 20031
14 20020
15 20030

About A.B. Feldman

A.B. Feldman is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Clinical Biochemistry, Public Health, Environmental and Occupational Health and Spectroscopy, having authored 15 papers that have together received 481 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (5 papers), ECG Monitoring and Analysis (3 papers), Bacterial Identification and Susceptibility Testing (2 papers), Malaria Research and Control (2 papers), Cardiac pacing and defibrillation studies (2 papers), Mass Spectrometry Techniques and Applications (2 papers), Pancreatic function and diabetes (1 paper) and Advanced Neuroimaging Techniques and Applications (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (313 citations), Surgery (205 citations), Genetics (85 citations), Modeling and Simulation (9 citations) and Parasitology (12 citations). A.B. Feldman has collaborated with scholars based in United States, Israel and Germany. Frequent co-authors include Leszek Nosek, Tim Heise, Hanne Haahr, Søren Rasmussen, Yevgeniy Elbert, David Sullivan, Darin Kongkasuriyachai, Peter F. Scholl, Nirmal Kumar and Howard Burkom. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, Diabetes Obesity and Metabolism, Environmental Science & Technology, Analytical Chemistry and Medical & Biological Engineering & Computing.

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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