Mark C. Glassy

1.5k total citations
74 papers, 1.1k citations indexed

About

Mark C. Glassy is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Immunology. According to data from OpenAlex, Mark C. Glassy has authored 74 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Radiology, Nuclear Medicine and Imaging, 45 papers in Molecular Biology and 40 papers in Immunology. Recurrent topics in Mark C. Glassy's work include Monoclonal and Polyclonal Antibodies Research (56 papers), Glycosylation and Glycoproteins Research (22 papers) and Immunotherapy and Immune Responses (21 papers). Mark C. Glassy is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (56 papers), Glycosylation and Glycoproteins Research (22 papers) and Immunotherapy and Immune Responses (21 papers). Mark C. Glassy collaborates with scholars based in United States, Iran and Iraq. Mark C. Glassy's co-authors include Ivor Royston, Harold H. Handley, Soldano Ferrone, H. Hagiwara, Pao C. Chau, John Tharakan, Charles D. Surh, Soudeh Ghafouri‐Fard, Beatrix Kotlán and Mohammad Taheri and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Clinical Oncology.

In The Last Decade

Mark C. Glassy

71 papers receiving 1.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Mark C. Glassy United States	19	609	549	494	260	121	74	1.1k
R A Reisfeld United States	18	805 1.3×	629 1.1×	480 1.0×	315 1.2×	70 0.6×	28	1.3k
Randy Robinson United States	13	767 1.3×	773 1.4×	479 1.0×	368 1.4×	36 0.3×	31	1.5k
G Chavanel France	15	458 0.8×	375 0.7×	199 0.4×	303 1.2×	113 0.9×	32	1.1k
Andreas Wadle Germany	15	424 0.7×	159 0.3×	333 0.7×	410 1.6×	117 1.0×	24	929
Gerrit D. Keizer Netherlands	13	457 0.8×	412 0.8×	827 1.7×	135 0.5×	83 0.7×	15	1.6k
Claudio Sustmann Germany	17	1.1k 1.8×	537 1.0×	262 0.5×	379 1.5×	51 0.4×	18	1.4k
Seung-Uon Shin United States	17	337 0.6×	311 0.6×	466 0.9×	375 1.4×	37 0.3×	23	928
Circe Mesa Cuba	17	748 1.2×	220 0.4×	1.7k 3.4×	640 2.5×	96 0.8×	37	2.1k
Beatrice Brunkhorst United States	16	488 0.8×	170 0.3×	256 0.5×	227 0.9×	44 0.4×	21	1.1k
Sheng‐Jiun Wu United States	17	730 1.2×	442 0.8×	315 0.6×	206 0.8×	29 0.2×	32	1.1k

Countries citing papers authored by Mark C. Glassy

Since Specialization

Citations

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

Fields of papers citing papers by Mark C. Glassy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark C. Glassy

This figure shows the co-authorship network connecting the top 25 collaborators of Mark C. Glassy. A scholar is included among the top collaborators of Mark C. Glassy based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mark C. Glassy. Mark C. Glassy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Glassy, Mark C.. (2025). Cell surface vimentin: a natural human immune response target for immunotherapy. PubMed. 5. 1552323–1552323.

Hussen, Bashdar Mahmud, Snur Rasool Abdullah, Hazha Jamal Hidayat, et al.. (2025). CRISPR/Cas as a tool to overcome drug resistance in cancer: From challenge to opportunity. Molecular and Cellular Probes. 84. 102052–102052. 1 indexed citations

Hussen, Bashdar Mahmud, Snur Rasool Abdullah, Mohammed Fatih Rasul, et al.. (2024). Advanced strategies of targeting circular RNAs as therapeutic approaches in colorectal cancer drug resistance. Pathology - Research and Practice. 260. 155402–155402. 9 indexed citations

Hussen, Bashdar Mahmud, Mohammed Fatih Rasul, Snur Rasool Abdullah, et al.. (2023). Targeting miRNA by CRISPR/Cas in cancer: advantages and challenges. Military Medical Research. 10(1). 32–32. 64 indexed citations

Eslami, Solat, Mark C. Glassy, & Soudeh Ghafouri‐Fard. (2021). A comprehensive overview of identified mutations in SARS CoV-2 spike glycoprotein among Iranian patients. Gene. 813. 146113–146113. 4 indexed citations

Ghafouri‐Fard, Soudeh, et al.. (2020). Altered ANRIL Methylation in Epileptic Patients. Journal of Molecular Neuroscience. 71(1). 193–199. 3 indexed citations

Bouraghi, Hamid, et al.. (2019). Brain‐derived neurotrophic factor downregulation in gastric cancer. Journal of Cellular Biochemistry. 120(10). 17831–17837. 15 indexed citations

Sayad, Arezou, Mohammad Taheri, Shahram Arsang‐Jang, Mark C. Glassy, & Soudeh Ghafouri‐Fard. (2019). Hepatocellular carcinoma up-regulated long non-coding RNA: a putative marker in multiple sclerosis. Metabolic Brain Disease. 34(4). 1201–1205. 13 indexed citations

Babić, Ivan, Santosh Kesari, & Mark C. Glassy. (2018). A Binding Potency Assay for Pritumumab and Ecto-Domain Vimentin. Methods in molecular biology. 1904. 401–415. 3 indexed citations

10.

Glassy, Mark C. & Rishab K. Gupta. (2013). Technical and Ethical Limitations in Making Human Monoclonal Antibodies (An Overview). Methods in molecular biology. 1060. 9–36. 10 indexed citations

11.

Kotlán, Beatrix, et al.. (2005). Novel Ganglioside Antigen Identified by B Cells in Human Medullary Breast Carcinomas: The Proof of Principle Concerning the Tumor-Infiltrating B Lymphocytes. The Journal of Immunology. 175(4). 2278–2285. 66 indexed citations

12.

Glassy, Mark C., et al.. (2005). Requirements for human antibody cocktails for oncology. Expert Opinion on Biological Therapy. 5(10). 1333–1338. 7 indexed citations

13.

Koda, Keiji, Norihiko Saito, Noboru Nakajima, et al.. (2000). Identification of the immunoreactive peptide sequence for AgSK1, an adenocarcinoma‐restricted antigen. Tissue Antigens. 55(2). 157–161. 1 indexed citations

14.

Nasoff, Marc, et al.. (1997). Cloning and Expression of the Human Tumor-Specific Antibody GM4. Hybridoma. 16(5). 427–439. 4 indexed citations

15.

Chang, Helena R., et al.. (1994). Tumor-associated antigens recognized by human monoclonal antibodies. Annals of Surgical Oncology. 1(3). 213–221. 5 indexed citations

16.

Glassy, Mark C.. (1988). Creating hybridomas by electrofusion. Nature. 333(6173). 579–580. 20 indexed citations

17.

Pratt, Michael, et al.. (1987). The Generation of Ig-Secreting UC 729-6 Derived Human Hybridomas by Electrofusion. Hybridoma. 6(5). 469–477. 19 indexed citations

18.

Glassy, Mark C., Harold H. Handley, Charles D. Surh, & Ivor Royston. (1987). Genetically Stable Human Hybridomas Secreting Tumor-Reactive Human Monoclonal IgM. Cancer Investigation. 5(5). 449–457. 11 indexed citations

19.

Surh, Charles D., et al.. (1986). Variations in the Secretion of Monoclonal Antibodies by Human-Human Hybridomas. Hybridoma. 5(2). 93–105. 11 indexed citations

20.

Shawler, Daniel L., Susan B. Wormsley, R O Dillman, et al.. (1985). The use of monoclonal antibodies and flow cytometry to detect peripheral blood and bone marrow involvement of a diffuse, poorly differentiated lymphoma. International Journal of Immunopharmacology. 7(4). 423–432. 4 indexed citations

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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