Daniel K. Borger

683 citations
14 papers · 516 indexed · h-index 8

Impact in

  • Physiology top 10%
    • Lysosomal Storage Disorders Research
    • Calcium signaling and nucleotide metabolism
  • Cell Biology top 10%
    • Cellular transport and secretion

Papers in

    • Cellular transport and secretion 6
    • Lysosomal Storage Disorders Research 8
    • Erythrocyte Function and Pathophysiology 1

Daniel K. Borger

13 papers receiving 510 citations

Peers

Daniel K. Borger
Comparison fields: 5 of 63
  • Physiology 257
  • Cell Biology 145
  • Physiology 37
  • Hematology 91
  • Neurology 108
Replace Briony L. Gliddon with:
Briony L. Gliddon Australia
Martina Cesani Italy
Susanna Lualdi Italy
Dean C. Pask United Kingdom
Tatiana Usenko Russia
M.J. Hannah Germany
Deepthi Sanagasetti United States
Raphael Schiffmann United States
Jaclyn Nicole Le Grand France
Maxim Poustovoitov United States
Daniel K. Borger relative to Briony L. Gliddon Australia Briony L. Gliddon's profile →
Citations per field
00.5×5.7×
Briony L. Gliddon · 1×
Citations per year

Countries citing papers authored by Daniel K. Borger

Since Specialization
Citations

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

Fields of papers citing papers by Daniel K. Borger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel K. Borger. 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 Daniel K. Borger. The network helps show where Daniel K. Borger may publish in the future.

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 20250
2 20231
3 202224
4 202267
5 201966
6 201721
7 201612
8 20161
9 2016181
10 20163
11 20152
12 2015122
13 20152
14 201414

About Daniel K. Borger

Daniel K. Borger is a scholar working on Cell Biology, Physiology, Hematology, Developmental Neuroscience and Physiology, having authored 14 papers that have together received 516 indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (8 papers), Cellular transport and secretion (6 papers), Carbohydrate Chemistry and Synthesis (4 papers), Hematopoietic Stem Cell Transplantation (3 papers), Mesenchymal stem cell research (2 papers), Phagocytosis and Immune Regulation (2 papers), Erythrocyte Function and Pathophysiology (1 paper) and Autophagy in Disease and Therapy (1 paper). The work is most often cited by research in Physiology (257 citations), Cell Biology (145 citations), Physiology (37 citations), Hematology (91 citations) and Neurology (108 citations). Daniel K. Borger has collaborated with scholars based in United States, Spain and France. Frequent co-authors include Elma Aflaki, Ellen Sidransky, Grisel Lopez, Wendy Westbroek, Samarjit Patnaik, Juan Marugán, Nima Moaven, Paul S. Frenette, Sandra Pinho and Qiaozhi Wei. Their work appears in journals such as Nature Cell Biology, Molecular Genetics and Metabolism, Journal of Neuroscience, Disease Models & Mechanisms and Cell stem cell.

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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