Hong‐Duck Um

2.8k citations
65 papers · 2.4k indexed · h-index 29
    • NF-κB Signaling Pathways 6
    • Cell death mechanisms and regulation 20
    • Genomics, phytochemicals, and oxidative stress 7
    • Mitochondrial Function and Pathology 6
    • Protein Kinase Regulation and GTPase Signaling 6
    • Redox biology and oxidative stress 5
    • Heat shock proteins research 5
  • Oncology top 5%
    • Cancer-related Molecular Pathways 11
  • Immunology top 10%
  • Aging top 10%

Hong‐Duck Um

65 papers receiving 2.4k citations

Peers

Hong‐Duck Um
Comparison fields: 5 of 109
  • Cancer Research 506
  • Molecular Biology 1.6k
  • Oncology 526
  • Immunology 344
  • Aging 26
Replace Almudena Porrás with:
Almudena Porrás Spain
Song Iy Han South Korea
Abhinav K. Jain United States
Mohamed X. Ibrahim Sweden
Joslyn K. Brunelle United States
Clotilde Wiel Sweden
Marco Colombi Switzerland
Renata Colavitti Italy
Frank Weinberg United States
Hong‐Duck Um relative to Almudena Porrás Spain Almudena Porrás's profile →
Citations per field
00.5×1.5×
Almudena Porrás · 1×
Citations per year

Countries citing papers authored by Hong‐Duck Um

Since Specialization
Citations

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

Fields of papers citing papers by Hong‐Duck Um

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hong‐Duck Um. 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 Hong‐Duck Um. The network helps show where Hong‐Duck Um may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20224
2 202113
3 202014
4 20199
5 201827
6 201814
7 2017163
8 201612
9 201532
10 20157
11 201412
12 201331
13 201154
14 201078
15 201073
16 200935
17 200514
18 200429
19 200244
20 19915

About Hong‐Duck Um

Hong‐Duck Um is a scholar working on Cancer Research, Molecular Biology and Geriatrics and Gerontology, having authored 65 papers that have together received 2.4k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (20 papers), Cancer-related Molecular Pathways (11 papers), Genomics, phytochemicals, and oxidative stress (7 papers), Mitochondrial Function and Pathology (6 papers), Protein Kinase Regulation and GTPase Signaling (6 papers), NF-κB Signaling Pathways (6 papers), Redox biology and oxidative stress (5 papers) and Heat shock proteins research (5 papers). The work is most often cited by research in Cancer Research (506 citations), Molecular Biology (1.6k citations) and Oncology (526 citations). Hong‐Duck Um has collaborated with scholars based in South Korea, United States and France. Frequent co-authors include Sang‐Gu Hwang, Jong Kuk Park, Seung Bum Lee, In Hwa Bae, Jan M. Orenstein, Chan‐Hun Jung, Jongdoo Kim, Do Kyun Kim, Eun Mi Kim and Seung‐Sook Lee. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Immunology and Cancer 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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