E Ling

516 citations
9 papers · 445 · h-index 8

Impact in

  • Cell Biology top 10%
    • Cellular transport and secretion
    • Hemoglobin structure and function
  • Physiology top 10%
    • Erythrocyte Function and Pathophysiology

Papers in

    • Enzyme Catalysis and Immobilization 2
    • Glycosylation and Glycoproteins Research 2
    • Erythrocyte Function and Pathophysiology 4
    • Calcium signaling and nucleotide metabolism 2
    • Alzheimer's disease research and treatments 1

E Ling

9 papers receiving 430 citations

Peers

E Ling
Comparison fields: 5 of 77
  • Cell Biology 154
  • Physiology 211
  • Pulmonary and Respiratory Medicine 124
  • Molecular Biology 235
  • Cellular and Molecular Neuroscience 53
Replace P. Wong with:
P. Wong United States
Howard Mulhern United States
CM Cohen Pakistan
Monique Bourgeois France
Mitsunori Kawato Japan
Trang T.B. Nguyen United Kingdom
Carlos M. Roggero Argentina
Stuart Jaffe United States
Caroline D. Gray United States
Valeria Y. Vasileva Russia
E Ling relative to P. Wong United States P. Wong's profile →
Citations per field
00.5×1.5×2.4×
P. Wong · 1×
Citations per year

Countries citing papers authored by E Ling

Since Specialization
Citations

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

Fields of papers citing papers by E Ling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside E Ling, 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 E Ling Line = papers co-authored together E Ling links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 198899
2 198476
3 198667
4 199059
5 198756
6 198738
7 198233
8 197814
9 19793

About E Ling

E Ling is a scholar working on Molecular Biology, Physiology, Cellular and Molecular Neuroscience, Pulmonary and Respiratory Medicine and Physiology, having authored 9 papers that have together received 445 indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (4 papers), Calcium signaling and nucleotide metabolism (2 papers), Blood properties and coagulation (2 papers), Enzyme Catalysis and Immobilization (2 papers), Glycosylation and Glycoproteins Research (2 papers), Photoreceptor and optogenetics research (2 papers), Pancreatic function and diabetes (1 paper) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Cell Biology (154 citations), Physiology (211 citations), Pulmonary and Respiratory Medicine (124 citations), Molecular Biology (235 citations) and Cellular and Molecular Neuroscience (53 citations). E Ling has collaborated with scholars based in United States. Frequent co-authors include Cindy Cohen, Vann Bennett, Victor S. Sapirstein, Kevin Gardner, J P Steiner, Joan B. Peterson, David Lee Nelson, R. H. Angeletti, John H. Collins and Arnold Schwartz. Their work appears in journals such as Journal of Biological Chemistry, Nature, Biochimica et Biophysica Acta (BBA) - Biomembranes, Biochemical and Biophysical Research Communications and Applied and Environmental Microbiology.

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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