David S. Lorberbaum

1.5k citations
12 papers · 318 · h-index 8

Impact in

    • Diabetes and associated disorders
    • Genomics and Chromatin Dynamics
    • Pluripotent Stem Cells Research
    • RNA and protein synthesis mechanisms
    • Developmental Biology and Gene Regulation
    • RNA Research and Splicing

Papers in

    • Pancreatic function and diabetes 6
    • Diabetes and associated disorders 6

David S. Lorberbaum

12 papers receiving 317 citations

Peers

David S. Lorberbaum
Comparison fields: 5 of 77
  • Genetics 72
  • Molecular Biology 175
  • Endocrinology, Diabetes and Metabolism 42
  • Cell Biology 35
  • Surgery 83
Replace Angela J. Churchill with:
Angela J. Churchill United States
Patrick McMillen United States
Andreas Miething Germany
Shifang Shan China
Anna Knisely Australia
Frank Wessely United Kingdom
Marie-France Gardahaut France
Kathrin Chamaon Germany
Alexandre Moerman France
Shunya Oka Japan
David S. Lorberbaum relative to Angela J. Churchill United States Angela J. Churchill's profile →
Citations per field
00.5×3.2×
Angela J. Churchill · 1×
Citations per year

Countries citing papers authored by David S. Lorberbaum

Since Specialization
Citations

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

Fields of papers citing papers by David S. Lorberbaum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David S. Lorberbaum. 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 David S. Lorberbaum. The network helps show where David S. Lorberbaum may publish in the future.

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2017159
2 202043
3 201632
4 202026
5 201919
6 202010
7 20138
8 20157
9 20207
10 20224
11 20102
12 20251

About David S. Lorberbaum

David S. Lorberbaum is a scholar working on Surgery, Genetics, Endocrinology, Diabetes and Metabolism, Molecular Biology and Genetics, having authored 12 papers that have together received 318 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (6 papers), Diabetes and associated disorders (6 papers), Diabetes Management and Research (5 papers), Hedgehog Signaling Pathway Studies (2 papers), Developmental Biology and Gene Regulation (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (1 paper), RNA and protein synthesis mechanisms (1 paper) and Amyotrophic Lateral Sclerosis Research (1 paper). The work is most often cited by research in Genetics (72 citations), Molecular Biology (175 citations), Endocrinology, Diabetes and Metabolism (42 citations), Cell Biology (35 citations) and Surgery (83 citations). David S. Lorberbaum has collaborated with scholars based in United States. Frequent co-authors include Lori Sussel, Giselle Domínguez Gutiérrez, Kevin A. Fischer, Angela J. Churchill, Ruth A. Singer, Scott Barolo, Michelle A. Guney, Samantha Passman, Agata A. Exner and Eric Abenojar. Their work appears in journals such as eLife, Frontiers in Endocrinology, Current Biology, Advances in experimental medicine and biology and Nature Communications.

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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