Eva Loh

1.3k citations
24 papers · 795 · h-index 17

Impact in

    • Cellular transport and secretion
    • Endoplasmic Reticulum Stress and Disease
  • Physiology top 5%
    • Calcium signaling and nucleotide metabolism
    • Lysosomal Storage Disorders Research

Papers in

    • Lipid Membrane Structure and Behavior 3
    • Glycosylation and Glycoproteins Research 3
    • Cellular transport and secretion 6
    • Endoplasmic Reticulum Stress and Disease 3

Eva Loh

24 papers receiving 788 citations

Peers

Eva Loh
Comparison fields: 5 of 81
  • Cell Biology 343
  • Physiology 73
  • Immunology 157
  • Molecular Biology 395
  • Physiology 136
Replace Senye Takahashi with:
Senye Takahashi Japan
Clemens Hofmann Germany
Michael R. Dores United States
Marina V. Kisseleva United States
Jennifer Navarre United States
Craig Eyster United States
Thomas Slagsvold Norway
Jaafar El Annan United States
Rodney J. Moreland United States
Stefan Tomiuk Germany
Eva Loh relative to Senye Takahashi Japan Senye Takahashi's profile →
Citations per field
00.5×1.7×
Senye Takahashi · 1×
Citations per year

Countries citing papers authored by Eva Loh

Since Specialization
Citations

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

Fields of papers citing papers by Eva Loh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005118
2 200795
3 201760
4 201460
5 200447
6 200042
7 201738
8 201038
9 201535
10 199734
11 200530
12 201528
13 201528
14 200926
15 200222
16 200021
17 201520
18 201715
19 201414
20 201713

About Eva Loh

Eva Loh is a scholar working on Molecular Biology, Cell Biology, Immunology, Epidemiology and Genetics, having authored 24 papers that have together received 795 indexed citations. Recurring topics across this work include Cellular transport and secretion (6 papers), Immune Cell Function and Interaction (4 papers), Lipid Membrane Structure and Behavior (3 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Glycosylation and Glycoproteins Research (3 papers), T-cell and B-cell Immunology (3 papers), Calcium signaling and nucleotide metabolism (3 papers) and Galectins and Cancer Biology (2 papers). The work is most often cited by research in Cell Biology (343 citations), Physiology (73 citations), Immunology (157 citations), Molecular Biology (395 citations) and Physiology (136 citations). Eva Loh has collaborated with scholars based in Singapore, United States and China. Frequent co-authors include Wanjin Hong, Haiwei Song, Mousheng Wu, Tuanlao Wang, V. Nathan Subramaniam, Kenneth Tou En Chang, Thiam Chye Tan, Qingfeng Chen, Vandana Sharma and Liangwu Sun. Their work appears in journals such as Journal of Biological Chemistry, Scientific Reports, Pathology, The EMBO Journal and Journal of Cell Science.

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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