Mark D. Roycik

445 citations
10 papers · 368 · h-index 10

Impact in

    • Protease and Inhibitor Mechanisms
    • Breast Cancer Treatment Studies
    • Cancer Genomics and Diagnostics
    • Cancer-related molecular mechanisms research
    • Peptidase Inhibition and Analysis

Papers in

    • Protease and Inhibitor Mechanisms 7
    • Peptidase Inhibition and Analysis 4
    • Inflammatory Biomarkers in Disease Prognosis 1

Mark D. Roycik

10 papers receiving 360 citations

Peers

Mark D. Roycik
Comparison fields: 5 of 75
  • Cancer Research 143
  • Oncology 116
  • Immunology and Allergy 26
  • Otorhinolaryngology 12
  • Hematology 21
Replace Kazuaki Fushimi with:
Kazuaki Fushimi Japan
Jen-Liang Su Taiwan
Chang S. Lau United States
Shunsuke Ebara Japan
Bianca Rodrigues da Cunha Brazil
Péter Orosz Germany
Yunlian Tang China
Michael Zepp Germany
Maider Ibarrola‐Villava Spain
Zexuan Liu China
Mark D. Roycik relative to Kazuaki Fushimi Japan Kazuaki Fushimi's profile →
Citations per field
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Kazuaki Fushimi · 1×
Citations per year

Countries citing papers authored by Mark D. Roycik

Since Specialization
Citations

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

Fields of papers citing papers by Mark D. Roycik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2008110
2 201377
3 200640
4 200940
5 201325
6 201323
7 201716
8 201315
9 201613
10 20139

About Mark D. Roycik

Mark D. Roycik is a scholar working on Cancer Research, Oncology, Molecular Biology, Hematology and Genetics, having authored 10 papers that have together received 368 indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (7 papers), Peptidase Inhibition and Analysis (4 papers), Blood Coagulation and Thrombosis Mechanisms (3 papers), Signaling Pathways in Disease (2 papers), Inflammatory Biomarkers in Disease Prognosis (1 paper), Pulmonary Hypertension Research and Treatments (1 paper), Adipokines, Inflammation, and Metabolic Diseases (1 paper) and Enzyme Production and Characterization (1 paper). The work is most often cited by research in Cancer Research (143 citations), Oncology (116 citations), Immunology and Allergy (26 citations), Otorhinolaryngology (12 citations) and Hematology (21 citations). Mark D. Roycik has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Qing‐Xiang Amy Sang, Jinfeng Zhang, Paul A. Stewart, Ghislain Opdenakker, Howard M. Monroe, Philippe E. Van den Steen, Megan E. Muroski, Xiao Fang, Jeremy S. Myers and Dale B. Bosco. Their work appears in journals such as PLoS ONE, Cell Research, Journal of Medicinal Chemistry, Current Molecular Medicine and Protein Expression and Purification.

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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