Dorothy Becker

5.5k citations
79 papers · 2.7k indexed · h-index 32

Impact in

Papers in

Dorothy Becker

79 papers receiving 2.6k citations

Peers

Dorothy Becker
Comparison fields: 5 of 116
  • Endocrinology, Diabetes and Metabolism 1.6k
  • Genetics 1.3k
  • Surgery 1.0k
  • Obstetrics and Gynecology 143
  • Immunology 365
Replace Marina Scavini with:
Marina Scavini Italy
Jennifer B. Marks United States
Gyula Soltész Hungary
Christopher Patterson United Kingdom
Nuala Murphy Ireland
D. J. Carson United Kingdom
Ingrid Libman United States
Stefano Zucchini Italy
Kalliopi Kotsa Greece
Milton César Foss Brazil
Dorothy Becker relative to Marina Scavini Italy Marina Scavini's profile →
Citations per field
00.5×1.7×
Marina Scavini · 1×
Citations per year

Countries citing papers authored by Dorothy Becker

Since Specialization
Citations

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

Fields of papers citing papers by Dorothy Becker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20212
2 20208
3 201511
4
Hydrolyzed Infant Formula and Early beta-Cell Autoimmunity A Randomized Clinical Trial
20148
5 201044
6 200814
7 200756
8 200525
9 2003165
10 20023
11 200237
12 200139
13 200175
14 200018
15 200036
16 199859
17 19972
18 19948
19 1993105
20 199215

About Dorothy Becker

Dorothy Becker is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics, Obstetrics and Gynecology, Surgery and Immunology, having authored 79 papers that have together received 2.7k indexed citations. Recurring topics across this work include Diabetes and associated disorders (50 papers), Diabetes Management and Research (39 papers), Pancreatic function and diabetes (33 papers), Gestational Diabetes Research and Management (7 papers), Immune Cell Function and Interaction (7 papers), Infant Nutrition and Health (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers) and T-cell and B-cell Immunology (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.6k citations), Genetics (1.3k citations), Surgery (1.0k citations), Obstetrics and Gynecology (143 citations) and Immunology (365 citations). Dorothy Becker has collaborated with scholars based in United States, Canada and Finland. Frequent co-authors include Trevor J. Orchard, Ronald E. LaPorte, Janice S. Dorman, Massimo Pietropaolo, Ingrid Libman, Lewis H. Kuller, Allan Drash, Roy K. Cheung, Thomas J. Songer and Kimberly Y.Z. Forrest. Their work appears in journals such as Diabetes Care, Pediatric Diabetes, The Journal of Immunology, Diabetologia and The Journal of Clinical Endocrinology & Metabolism.

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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