Mark Uhlik

4.3k citations
51 papers · 2.2k · h-index 18

Impact in

  • Immunology top 5%
    • T-cell and Retrovirus Studies
    • Immune Response and Inflammation
    • NF-κB Signaling Pathways

Papers in

    • Angiogenesis and VEGF in Cancer 10
    • Cancer Immunotherapy and Biomarkers 8
    • Cancer Cells and Metastasis 5

Mark Uhlik

51 papers receiving 2.2k citations

Peers

Mark Uhlik
Comparison fields: 5 of 102
  • Immunology 631
  • Cancer Research 426
  • Neurology 276
  • Oncology 440
  • Agronomy and Crop Science 165
Replace Hsiu-Ming Shih with:
Hsiu-Ming Shih Taiwan
Susanne Wagner United States
Katharine S. Ullman United States
Etta Livneh Israel
Andrew C.G. Porter United Kingdom
Helen C. Hurst United Kingdom
Leo Kretzner United States
Deborah H. Anderson Canada
Timothy M. Thomson Spain
Arrigo De Benedetti United States
Mark Uhlik relative to Hsiu-Ming Shih Taiwan Hsiu-Ming Shih's profile →
Citations per field
00.5×6.6×
Hsiu-Ming Shih · 1×
Citations per year

Countries citing papers authored by Mark Uhlik

Since Specialization
Citations

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

Fields of papers citing papers by Mark Uhlik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003312
2 2001257
3 2004203
4 2005199
5 1998147
6 2012134
7 2014119
8 2016114
9 2000104
10 200476
11 200565
12 201164
13 201650
14 200637
15 201133
16 201131
17 200431
18 202323
19 201316
20 201916

About Mark Uhlik

Mark Uhlik is a scholar working on Molecular Biology, Oncology, Immunology, Cancer Research and Cell Biology, having authored 51 papers that have together received 2.2k indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (10 papers), Cancer Immunotherapy and Biomarkers (8 papers), Immunotherapy and Immune Responses (6 papers), Cancer Cells and Metastasis (5 papers), Cancer Research and Treatments (5 papers), Cancer, Hypoxia, and Metabolism (5 papers), T-cell and Retrovirus Studies (4 papers) and Immune cells in cancer (4 papers). The work is most often cited by research in Immunology (631 citations), Cancer Research (426 citations), Neurology (276 citations), Oncology (440 citations) and Agronomy and Crop Science (165 citations). Mark Uhlik has collaborated with scholars based in United States, Germany and South Korea. Frequent co-authors include Gary L. Johnson, Amy N. Abell, Shao‐Cong Sun, Edward W. Harhaj, Gutian Xiao, Bruce D. Cuevas, Mary Ellen Cvijic, Nancy L. Johnson, Jonathan A. Lee and Abraham Fong. Their work appears in journals such as Cancer Research, Molecular Cancer Therapeutics, Journal of Clinical Oncology, Oncogene and PLoS ONE.

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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