Dong‐Sik Ham

952 citations
24 papers · 763 · h-index 14

Impact in

Papers in

    • Pancreatic function and diabetes 17
    • Metabolism, Diabetes, and Cancer 5
    • Pluripotent Stem Cells Research 4

Dong‐Sik Ham

23 papers receiving 757 citations

Peers

Dong‐Sik Ham
Comparison fields: 5 of 87
  • Geriatrics and Gerontology 55
  • Endocrinology, Diabetes and Metabolism 153
  • Aging 14
  • Developmental Neuroscience 32
  • Surgery 276
Replace Vittoria Pagliarini with:
Vittoria Pagliarini Italy
George Talbott United States
Alberto Bartolomé Spain
Daniel Eberhard Germany
Shen Liang Chen Taiwan
Elaine G. Goldstein United States
Emanuel Gasser United States
Addolorata Pisconti United States
Suguru Yamaguchi Japan
Julia Schultz Germany
Dong‐Sik Ham relative to Vittoria Pagliarini Italy Vittoria Pagliarini's profile →
Citations per field
00.5×3.6×
Vittoria Pagliarini · 1×
Citations per year

Countries citing papers authored by Dong‐Sik Ham

Since Specialization
Citations

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

Fields of papers citing papers by Dong‐Sik Ham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dong‐Sik Ham. 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 Dong‐Sik Ham. The network helps show where Dong‐Sik Ham may publish in the future.

Co-authors

The 25 scholars most cited alongside Dong‐Sik Ham, 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 Dong‐Sik Ham Line = papers co-authored together Dong‐Sik Ham 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 2014266
2 200560
3 200958
4 201545
5 199145
6 201742
7 201541
8 201627
9 201627
10 201926
11 201325
12 201115
13 201514
14 200914
15 201511
16 201410
17 20108
18 20118
19 20156
20 20196

About Dong‐Sik Ham

Dong‐Sik Ham is a scholar working on Surgery, Molecular Biology, Endocrinology, Diabetes and Metabolism, Genetics and Pharmacology, having authored 24 papers that have together received 763 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (17 papers), Diabetes Management and Research (7 papers), Diabetes and associated disorders (7 papers), Metabolism, Diabetes, and Cancer (5 papers), Pluripotent Stem Cells Research (4 papers), Cannabis and Cannabinoid Research (3 papers), Nerve injury and regeneration (2 papers) and Neurogenesis and neuroplasticity mechanisms (2 papers). The work is most often cited by research in Geriatrics and Gerontology (55 citations), Endocrinology, Diabetes and Metabolism (153 citations), Aging (14 citations), Developmental Neuroscience (32 citations) and Surgery (276 citations). Dong‐Sik Ham has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include JW Kim, Yong‐ho Lee, Bong Soo, Hyun Chul Lee, Byung‐Wan Lee, Young Mi Song, Eun Seok Kang, Kun‐Ho Yoon, Ji-Won Kim and Hae Kyung Yang. Their work appears in journals such as Transplantation, Journal of Tissue Engineering and Regenerative Medicine, PLoS ONE, Autophagy and Scientific Reports.

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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