Liem Phan

2.5k citations
30 papers · 1.6k · h-index 20

Impact in

    • Cancer, Hypoxia, and Metabolism
    • Cancer, Lipids, and Metabolism
  • Oncology top 5%
    • Cancer-related Molecular Pathways

Papers in

    • Ubiquitin and proteasome pathways 16
    • Protein Degradation and Inhibitors 3
    • RNA modifications and cancer 3
    • Metabolism, Diabetes, and Cancer 2
    • ATP Synthase and ATPases Research 2
    • Cancer-related Molecular Pathways 14

Liem Phan

30 papers receiving 1.6k citations

Peers

Liem Phan
Comparison fields: 5 of 96
  • Cancer Research 518
  • Oncology 563
  • Molecular Biology 1.1k
  • Cell Biology 195
  • Immunology 179
Replace Rebecca E. Schweppe with:
Rebecca E. Schweppe United States
Fabian V. Filipp United States
Julia Beretov Australia
Mukesh K. Nyati United States
Darrin D. Stuart United States
Yesim Gökmen‐Polar United States
Sergej Skvortsov Austria
Ulrike Sattler Germany
Farhad Vesuna United States
Osamu Kitahara Japan
Liem Phan relative to Rebecca E. Schweppe United States Rebecca E. Schweppe's profile →
Citations per field
00.5×1.5×
Rebecca E. Schweppe · 1×
Citations per year

Countries citing papers authored by Liem Phan

Since Specialization
Citations

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

Fields of papers citing papers by Liem Phan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Liem Phan, 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 Liem Phan Line = papers co-authored together Liem Phan 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 2014405
2 2016187
3 2012143
4 2011105
5 201691
6 201570
7 202160
8 201050
9 201245
10 201444
11 201144
12 202241
13 201240
14 201534
15 201331
16 202029
17 201228
18 201528
19 201226
20 201525

About Liem Phan

Liem Phan is a scholar working on Molecular Biology, Oncology, Cancer Research, Cell Biology and Surgery, having authored 30 papers that have together received 1.6k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (16 papers), Cancer-related Molecular Pathways (14 papers), Cancer, Hypoxia, and Metabolism (8 papers), Protein Degradation and Inhibitors (3 papers), Microtubule and mitosis dynamics (3 papers), RNA modifications and cancer (3 papers), Metabolism, Diabetes, and Cancer (2 papers) and ATP Synthase and ATPases Research (2 papers). The work is most often cited by research in Cancer Research (518 citations), Oncology (563 citations), Molecular Biology (1.1k citations), Cell Biology (195 citations) and Immunology (179 citations). Liem Phan has collaborated with scholars based in United States, Australia and China. Frequent co-authors include Sai‐Ching J. Yeung, Mong‐Hong Lee, Ruiying Zhao, Abdol-Hossein Rezaeian, Ping‐Chieh Chou, Hyun Ho Choi, Enrique Fuentes‐Mattei, Chun‐Hui Su, Guermarie Velázquez-Torres and Lekun Fang. Their work appears in journals such as Cell Cycle, Cancer Research, Oncotarget, Oncogene and Neoplasia.

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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