Mark Zorbas

23 papers receiving 436 citations

Peers

Mark Zorbas
Comparison fields: 5 of 75
  • Virology 57
  • Infectious Diseases 94
  • Oncology 116
  • Pharmacology 57
  • Small Animals 24
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Simona Signorini Italy
Lidan Xu China
Nina Lahdenpohja Finland
Yaming Su United States
Bonnie Pobiner United States
Kyla M. Smith Canada
R Cirillo Italy
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Citations per field
00.5×4.3×
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Citations per year

Countries citing papers authored by Mark Zorbas

Since Specialization
Citations

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

Fields of papers citing papers by Mark Zorbas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001107
2
Cellular growth response to epidermal growth factor in colon carcinoma cells with an amplified epidermal growth factor receptor derived from a familial adenomatous polyposis patient.
199170
3 201644
4
Pharmacokinetic and pharmacodynamic evaluation of the glycinamide ribonucleotide formyltransferase inhibitor AG2034.
200034
5
Transforming growth factor-alpha production and autoinduction in a colorectal carcinoma cell line (DiFi) with an amplified epidermal growth factor receptor gene.
199331
6 201725
7 201024
8 201419
9 199313
10 201412
11 200512
12 199311
13
Transferrin and insulin enhance human colon tumor cell growth by differentiation class specific mechanisms.
19969
14 20189
15 20138
16 20165
17 20033
18 20033
19 20052
20 19892

About Mark Zorbas

Mark Zorbas is a scholar working on Oncology, Molecular Biology, Physiology, Infectious Diseases and Cellular and Molecular Neuroscience, having authored 23 papers that have together received 446 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (6 papers), HIV/AIDS drug development and treatment (5 papers), HIV Research and Treatment (3 papers), HER2/EGFR in Cancer Research (3 papers), Nerve injury and regeneration (2 papers), HIV/AIDS Research and Interventions (2 papers), Neuropeptides and Animal Physiology (2 papers) and Retinoids in leukemia and cellular processes (2 papers). The work is most often cited by research in Virology (57 citations), Infectious Diseases (94 citations), Oncology (116 citations), Pharmacology (57 citations) and Small Animals (24 citations). Mark Zorbas has collaborated with scholars based in United States, Japan and Switzerland. Frequent co-authors include Lynn C. Yeoman, David L. Shelton, Gary E. Gallick, Susan Hurst, Stephanie Webber, Bhasker V. Shetty, Yuki Maeda, Matilde Olivé, Xinglin Wu and Bradley M. Kerr. Their work appears in journals such as Regulatory Toxicology and Pharmacology, Antimicrobial Agents and Chemotherapy, Human & Experimental Toxicology, Toxicological Sciences and Autonomic Neuroscience.

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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