Eli Song

1.2k citations
30 papers · 783 · h-index 15

Impact in

  • Aging top 10%
    • Genetics, Aging, and Longevity in Model Organisms
    • Cellular transport and secretion
    • Endoplasmic Reticulum Stress and Disease

Papers in

    • Lipid Membrane Structure and Behavior 4
    • Plant biochemistry and biosynthesis 3
    • Ubiquitin and proteasome pathways 3
    • Cellular transport and secretion 13
    • Endoplasmic Reticulum Stress and Disease 5

Eli Song

29 papers receiving 774 citations

Peers

Eli Song
Comparison fields: 5 of 93
  • Aging 38
  • Cell Biology 290
  • Physiology 35
  • Molecular Biology 471
  • Nephrology 40
Replace Ulrich Salzer with:
Ulrich Salzer Austria
Christopher J. Guerriero United States
Alexander R. van Vliet Belgium
Yunbo Ke United States
Cornelia Czupalla Germany
Mithu Majumder United States
Saška Ivanova Russia
Ashley Thelen United States
Eli Song relative to Ulrich Salzer Austria Ulrich Salzer's profile →
Citations per field
00.5×2.8×
Ulrich Salzer · 1×
Citations per year

Countries citing papers authored by Eli Song

Since Specialization
Citations

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

Fields of papers citing papers by Eli Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012133
2 2017103
3 202165
4 201964
5 200959
6 202138
7 202035
8 202131
9 200629
10 202328
11 201227
12 201627
13 202117
14 201116
15 201115
16 201814
17 200912
18 202210
19 201910
20 20219

About Eli Song

Eli Song is a scholar working on Molecular Biology, Cell Biology, Surgery, Cellular and Molecular Neuroscience and Physiology, having authored 30 papers that have together received 783 indexed citations. Recurring topics across this work include Cellular transport and secretion (13 papers), Pancreatic function and diabetes (9 papers), Endoplasmic Reticulum Stress and Disease (5 papers), Lipid Membrane Structure and Behavior (4 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Calcium signaling and nucleotide metabolism (3 papers), Plant biochemistry and biosynthesis (3 papers) and Ubiquitin and proteasome pathways (3 papers). The work is most often cited by research in Aging (38 citations), Cell Biology (290 citations), Physiology (35 citations), Molecular Biology (471 citations) and Nephrology (40 citations). Eli Song has collaborated with scholars based in China, United States and France. Frequent co-authors include Tao Xu, Youhe Gao, Zhuo Ma, Raphaël Gaudin, Yongqiang Deng, Xufeng Wu, Yan Wang, Yu Chen, Jinzhong Zhang and Jennifer Lippincott‐Schwartz. Their work appears in journals such as The Journal of Cell Biology, Nature Communications, Protein & Cell, Molecular Therapy and Journal of Proteome Research.

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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