M. E. Abrams

617 citations
19 papers · 458 · h-index 12

Impact in

Papers in

M. E. Abrams

19 papers receiving 377 citations

Peers

M. E. Abrams
Comparison fields: 5 of 91
  • Endocrinology, Diabetes and Metabolism 132
  • Endocrine and Autonomic Systems 47
  • Physiology 112
  • Pulmonary and Respiratory Medicine 97
  • Clinical Biochemistry 19
Replace E. FRAZE with:
E. FRAZE United States
J B Field United States
Halvar Bergman Sweden
Kenzo Uchida Japan
Z. Chap United States
Ralph A. De Fronzo United States
Dino Gioia Italy
Silvia Iannello Italy
Virginia H. Read United States
Sheldon H. Steiner United States
M. E. Abrams relative to E. FRAZE United States E. FRAZE's profile →
Citations per field
00.5×4.4×
E. FRAZE · 1×
Citations per year

Countries citing papers authored by M. E. Abrams

Since Specialization
Citations

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

Fields of papers citing papers by M. E. Abrams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. E. Abrams. 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 M. E. Abrams. The network helps show where M. E. Abrams may publish in the future.

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 196691
2 196986
3 196958
4 196730
5 196630
6 197324
7 197221
8 196816
9 197114
10 197314
11 196713
12 197312
13 197211
14 196911
15
A computer-based general practice and health centre information system.
196810
16 19699
17 19685
18 19722
19
Medical computing: progress and problems : the proceedings of a conference held at the University of Birmingham, 6-10 January, 1969
19701

About M. E. Abrams

M. E. Abrams is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Pulmonary and Respiratory Medicine, Surgery and Epidemiology, having authored 19 papers that have together received 458 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Diabetes Management and Research (3 papers), Metabolism, Diabetes, and Cancer (3 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (2 papers), Electrochemical sensors and biosensors (1 paper), Bee Products Chemical Analysis (1 paper), Medical Imaging and Pathology Studies (1 paper) and Medical Coding and Health Information (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (132 citations), Endocrine and Autonomic Systems (47 citations), Physiology (112 citations), Pulmonary and Respiratory Medicine (97 citations) and Clinical Biochemistry (19 citations). M. E. Abrams has collaborated with scholars based in United Kingdom, Ireland and Bangladesh. Frequent co-authors include R. J. Jarrett, D. R. Boyns, H. Keen, W. J. H. Butterfield, Margaret J. Whichelow, G Sterky, M. J. Whichelow, N. Veall, L. Stimmler and G. J. A. I. Snodgrass. Their work appears in journals such as Metabolism, The Lancet, Journal of Lipid Research, Diabetes and Archives of Disease in Childhood.

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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