David Singer

64 papers receiving 1.8k citations

Peers

David Singer
Comparison fields: 5 of 168
  • Clinical Biochemistry 404
  • Periodontics 82
  • Endocrinology, Diabetes and Metabolism 248
  • Physiology 299
  • Pathology and Forensic Medicine 175
Replace Philip J. Brooks with:
Philip J. Brooks United States
Hiroshi Nittono Japan
Andreas Busjahn Germany
Donald T. Forman United States
José Morais Portugal
Ulrich Wiesmann Switzerland
John D. Davis United States
Kenneth Krauter United States
Yasuyuki Ohta Japan
Junko Itô Japan
David Singer relative to Philip J. Brooks United States Philip J. Brooks's profile →
Citations per field
00.5×5.0×
Philip J. Brooks · 1×
Citations per year

Countries citing papers authored by David Singer

Since Specialization
Citations

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

Fields of papers citing papers by David Singer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1963190
2 2011182
3 2014144
4 196594
5 200794
6 197388
7 200882
8 196882
9 200654
10 201253
11 197545
12 201144
13 201436
14 201536
15 200535
16 201135
17 200834
18 201034
19 196733
20 196432

About David Singer

David Singer is a scholar working on Molecular Biology, Physiology, Endocrinology, Diabetes and Metabolism, Spectroscopy and Social Psychology, having authored 66 papers that have together received 1.9k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (9 papers), Advanced Proteomics Techniques and Applications (7 papers), Oral microbiology and periodontitis research (6 papers), Advanced Glycation End Products research (5 papers), Creativity in Education and Neuroscience (5 papers), Mass Spectrometry Techniques and Applications (5 papers), Natural Antidiabetic Agents Studies (4 papers) and Force Microscopy Techniques and Applications (3 papers). The work is most often cited by research in Clinical Biochemistry (404 citations), Periodontics (82 citations), Endocrinology, Diabetes and Metabolism (248 citations), Physiology (299 citations) and Pathology and Forensic Medicine (175 citations). David Singer has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Ralf Hoffmann, John Anderson, Norbert Freinkel, Cynthia K. Silbert, Sheldon J. Bleicher, Ronald A. Arky, Catalina Danis, Alexander Shekhtman, Vivek Rai and Jing Xue. Their work appears in journals such as Journal of Peptide Science, Developmental Psychology, Journal Of Clinical Periodontology, Journal of Mass Spectrometry and New England Journal of Medicine.

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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