Michael T. Barber

593 total citations
9 papers, 487 citations indexed

About

Michael T. Barber is a scholar working on Molecular Biology, Oncology and Pharmacology. According to data from OpenAlex, Michael T. Barber has authored 9 papers receiving a total of 487 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Oncology and 2 papers in Pharmacology. Recurrent topics in Michael T. Barber's work include Inflammatory mediators and NSAID effects (2 papers), Colorectal Cancer Treatments and Studies (2 papers) and Glycosylation and Glycoproteins Research (1 paper). Michael T. Barber is often cited by papers focused on Inflammatory mediators and NSAID effects (2 papers), Colorectal Cancer Treatments and Studies (2 papers) and Glycosylation and Glycoproteins Research (1 paper). Michael T. Barber collaborates with scholars based in United States, Australia and Poland. Michael T. Barber's co-authors include Scott A. Waldman, S B Biswas, Philip B. Sugerman, Scott D. Goldstein, Scott J. Parkinson, Stephen L. Carrithers, David S. Weinberg, Bruce Ruggeri, Neil Savage and G. J. Seymour and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Annals of the New York Academy of Sciences.

In The Last Decade

Michael T. Barber

9 papers receiving 473 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael T. Barber United States	7	205	131	87	82	69	9	487
Hiroki Nagayasu Japan	13	148 0.7×	214 1.6×	56 0.6×	81 1.0×	107 1.6×	47	512
Yukiko Ishibashi Japan	12	58 0.3×	113 0.9×	22 0.3×	58 0.7×	44 0.6×	29	332
Isamu Kodani Japan	12	147 0.7×	157 1.2×	57 0.7×	78 1.0×	53 0.8×	41	469
Scott D. Meredith United States	12	165 0.8×	157 1.2×	21 0.2×	226 2.8×	67 1.0×	15	768
Ratna Veeramachaneni United States	10	97 0.5×	265 2.0×	14 0.2×	62 0.8×	13 0.2×	16	633
Ilinca Nicolae Romania	13	116 0.6×	174 1.3×	45 0.5×	37 0.5×	10 0.1×	45	568
LM Lin Taiwan	10	67 0.3×	98 0.7×	42 0.5×	165 2.0×	225 3.3×	11	615
Meral Günhan Türkiye	13	47 0.2×	108 0.8×	13 0.1×	33 0.4×	104 1.5×	35	564
B. M. Odle United States	8	58 0.3×	115 0.9×	9 0.1×	23 0.3×	143 2.1×	10	905
Masako Sugiyama Japan	13	105 0.5×	223 1.7×	14 0.2×	148 1.8×	17 0.2×	19	587

Countries citing papers authored by Michael T. Barber

Since Specialization

Citations

This map shows the geographic impact of Michael T. Barber'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 Michael T. Barber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael T. Barber more than expected).

Fields of papers citing papers by Michael T. Barber

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael T. Barber. 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 Michael T. Barber. The network helps show where Michael T. Barber may publish in the future.

Co-authorship network of co-authors of Michael T. Barber

This figure shows the co-authorship network connecting the top 25 collaborators of Michael T. Barber. A scholar is included among the top collaborators of Michael T. Barber 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 Michael T. Barber. Michael T. Barber is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

Sugerman, Philip B. & Michael T. Barber. (2002). Patient selection for endosseous dental implants: oral and systemic considerations.. PubMed. 17(2). 191–201. 65 indexed citations

Barber, Michael T., et al.. (2000). A Splice Variant of the Transcript for Guanylyl Cyclase C Is Expressed in Human Colon and Colorectal Cancer Cells. Digestive Diseases and Sciences. 45(2). 298–305. 3 indexed citations

Waldman, Scott A., Burt Cagir, Jan Rakinic, et al.. (1998). Use of guanylyl cyclase c for detecting micrometastases in lymph nodes of patients with colon cancer. Diseases of the Colon & Rectum. 41(3). 310–315. 74 indexed citations

Waldman, Scott A., et al.. (1998). Heterogeneity of guanylyl cyclase C expressed by human colorectal cancer cell lines in vitro.. PubMed. 7(6). 505–14. 37 indexed citations

Weinberg, David S., et al.. (1997). Cholecystokinin A and B receptors are differentially expressed in normal pancreas and pancreatic adenocarcinoma.. Journal of Clinical Investigation. 100(3). 597–603. 86 indexed citations

Carrithers, Stephen L., Michael T. Barber, S B Biswas, et al.. (1996). Guanylyl cyclase C is a selective marker for metastatic colorectal tumors in human extraintestinal tissues. Proceedings of the National Academy of Sciences. 93(25). 14827–14832. 178 indexed citations

Barber, Michael T., Neil Savage, & G. J. Seymour. (1992). The Effect of Cyclosporin and Lipopolysaccharide on Fibroblasts: Implications for Cyclosporin‐Induced Gingival Overgrowth. Journal of Periodontology. 63(5). 397–404. 31 indexed citations

Torjman, Marc C., et al.. (1991). Effects of Chronic Exposure to Nitrous Oxide on Membrane Fluidity in Rats. Annals of the New York Academy of Sciences. 625(1). 545–547. 1 indexed citations

Savage, Neil, Michael T. Barber, & K. F. Adkins. (1986). Pigmentary changes in rat oral mucosa following antimalarial therapy. Journal of Oral Pathology and Medicine. 15(9). 468–471. 12 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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