M. David Ullman

3.1k citations
70 papers · 2.5k · h-index 25

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 13
    • Sphingolipid Metabolism and Signaling 10
    • Muscle Physiology and Disorders 6
    • Lysosomal Storage Disorders Research 10

M. David Ullman

68 papers receiving 2.4k citations

Peers

M. David Ullman
Comparison fields: 5 of 108
  • Physiology 757
  • Cell Biology 438
  • Biochemistry 160
  • Public Health, Environmental and Occupational Health 459
  • Ophthalmology 137
Replace Fernando Valdivieso with:
Fernando Valdivieso Spain
Monika Pawlik United States
Farah H. Siddiqi United Kingdom
Motonao Nakamura Japan
Vinay Choubey Estonia
Kenji Chiba Japan
María Dolores Ledesma Spain
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Citations per field
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Citations per year

Countries citing papers authored by M. David Ullman

Since Specialization
Citations

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

Fields of papers citing papers by M. David Ullman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000191
2 1985174
3
Androgen influence on the meibomian gland.
2000166
4 1974154
5 1995129
6 1988126
7 1977124
8 2004121
9 1999116
10 2012106
11 198674
12 197268
13 198964
14 197860
15 198154
16 198953
17 199850
18
Phenotypic manifestations of Gaucher disease: clinical features in 48 biochemically verified type 1 patients and comment on type 2 patients.
198248
19 200240
20 200636

About M. David Ullman

M. David Ullman is a scholar working on Molecular Biology, Physiology, Cell Biology, Cellular and Molecular Neuroscience and Surgery, having authored 70 papers that have together received 2.5k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (13 papers), Sphingolipid Metabolism and Signaling (10 papers), Lysosomal Storage Disorders Research (10 papers), Carbohydrate Chemistry and Synthesis (9 papers), Parkinson's Disease Mechanisms and Treatments (7 papers), Neurological disorders and treatments (6 papers), Muscle Physiology and Disorders (6 papers) and Muscle metabolism and nutrition (5 papers). The work is most often cited by research in Physiology (757 citations), Cell Biology (438 citations), Biochemistry (160 citations), Public Health, Environmental and Occupational Health (459 citations) and Ophthalmology (137 citations). M. David Ullman has collaborated with scholars based in United States, Sweden and Australia. Frequent co-authors include Norman S. Radin, Robert H. McCluer, Anders Oldfors, Edward M. Kaye, David A. Sullivan, Edwin H. Kolodny, J Cermák, Kathleen L. Krenzer, M. Reza Dana and Dorothy Tolls. Their work appears in journals such as Journal of Lipid Research, Alcoholism Clinical and Experimental Research, Alcohol, Neurology and Acta Neuropathologica.

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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