Mark P. Baganoff

491 total citations
8 papers, 420 citations indexed

About

Mark P. Baganoff is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Oncology. According to data from OpenAlex, Mark P. Baganoff has authored 8 papers receiving a total of 420 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 2 papers in Oncology. Recurrent topics in Mark P. Baganoff's work include Neuroscience and Neuropharmacology Research (3 papers), Ion channel regulation and function (2 papers) and Receptor Mechanisms and Signaling (2 papers). Mark P. Baganoff is often cited by papers focused on Neuroscience and Neuropharmacology Research (3 papers), Ion channel regulation and function (2 papers) and Receptor Mechanisms and Signaling (2 papers). Mark P. Baganoff collaborates with scholars based in United States. Mark P. Baganoff's co-authors include M A Bolanowski, Gerald B. Watson, Thomas H. Lanthorn, Michael S. Mulligan, Michael L. Jones, Peter A. Ward, Una Ryan, D. L. Widomski, D. J. Fretland and Yong Zhang and has published in prestigious journals such as The Journal of Immunology, Biochemistry and Brain Research.

In The Last Decade

Mark P. Baganoff

8 papers receiving 395 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mark P. Baganoff United States	7	147	135	116	48	43	8	420
A L United States	9	217 1.5×	461 3.4×	46 0.4×	22 0.5×	31 0.7×	11	862
Lucien Gazi Switzerland	15	226 1.5×	372 2.8×	143 1.2×	56 1.2×	28 0.7×	20	712
Anne-Christine Goulet Canada	10	51 0.3×	286 2.1×	127 1.1×	22 0.5×	8 0.2×	12	533
Paul J. Tolentino United States	10	123 0.8×	187 1.4×	137 1.2×	8 0.2×	5 0.1×	14	485
V. Tao Tran Switzerland	12	131 0.9×	288 2.1×	148 1.3×	16 0.3×	29 0.7×	19	690
Rico K.H. Lo Hong Kong	10	81 0.6×	243 1.8×	87 0.8×	12 0.3×	5 0.1×	13	446
Jenny Marzahn Germany	8	183 1.2×	205 1.5×	45 0.4×	8 0.2×	17 0.4×	12	442
Denian Wang China	10	70 0.5×	160 1.2×	60 0.5×	9 0.2×	52 1.2×	30	345
Gudrun Toresson Sweden	11	145 1.0×	332 2.5×	48 0.4×	3 0.1×	21 0.5×	18	627
Jonatan J. Thompson Denmark	10	65 0.4×	227 1.7×	48 0.4×	12 0.3×	5 0.1×	11	435

Countries citing papers authored by Mark P. Baganoff

Since Specialization

Citations

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

Fields of papers citing papers by Mark P. Baganoff

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark P. Baganoff

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

All Works

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8 of 8 papers shown

1.

Hope, Heidi R., Deborah M. Heuvelman, Kevin L. Duffin, et al.. (2000). Inhibition of cholesteryl ester transfer protein by substituted dithiobisnicotinic acid dimethyl ester: involvement of a critical cysteine. Journal of Lipid Research. 41(10). 1604–1614. 21 indexed citations

2.

McWherter, Charles A., Yiqing Feng, Linda L. Zurfluh, et al.. (1999). Circular Permutation of the Granulocyte Colony-Stimulating Factor Receptor Agonist Domain of Myelopoietin. Biochemistry. 38(14). 4564–4571. 22 indexed citations

3.

Minnerly, John C., Mark P. Baganoff, B T Keller, et al.. (1995). Identification and characterization of rhesus macaque interleukin-8. Inflammation. 19(3). 313–331. 5 indexed citations

4.

Zhang, Yong, B F Ramos, Barbara A. Jakschik, et al.. (1995). Interleukin 8 and mast cell-generated tumor necrosis factor-? in neutrophil recruitment. Inflammation. 19(1). 119–132. 30 indexed citations

5.

Mulligan, Michael S., Michael L. Jones, M A Bolanowski, et al.. (1993). Inhibition of lung inflammatory reactions in rats by an anti-human IL-8 antibody. The Journal of Immunology. 150(12). 5585–5595. 154 indexed citations

6.

Baganoff, Mark P., et al.. (1992). Polyamine spider toxins are potent un-competitive antagonists of rat cortex excitatory amino acid receptors. European Journal of Pharmacology Molecular Pharmacology. 227(1). 51–56. 14 indexed citations

7.

Watson, Gerald B., et al.. (1990). d-Cycloserine acts as a partial agonist at the glycine modulatory site of the NMDA receptor expressed inXenopus oocytes. Brain Research. 510(1). 158–160. 147 indexed citations

8.

Watson, Gerald B., et al.. (1989). Glycine antagonist action of 1-aminocyclobutane-1-carboxylate (ACBC) in Xenopus oocytes injected with rat brain mRNA. European Journal of Pharmacology. 167(2). 291–294. 27 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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