John L. Magnani

8.0k total citations · 3 hit papers
153 papers, 6.4k citations indexed

About

John L. Magnani is a scholar working on Molecular Biology, Immunology and Allergy and Hematology. According to data from OpenAlex, John L. Magnani has authored 153 papers receiving a total of 6.4k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Molecular Biology, 71 papers in Immunology and Allergy and 48 papers in Hematology. Recurrent topics in John L. Magnani's work include Cell Adhesion Molecules Research (71 papers), Glycosylation and Glycoproteins Research (47 papers) and Chemokine receptors and signaling (28 papers). John L. Magnani is often cited by papers focused on Cell Adhesion Molecules Research (71 papers), Glycosylation and Glycoproteins Research (47 papers) and Chemokine receptors and signaling (28 papers). John L. Magnani collaborates with scholars based in United States, Switzerland and Australia. John L. Magnani's co-authors include Beat Ernst, Victor Ginsburg, Zenon Steplewski, Hilary Koprowski, David F. Smith, John T. Patton, Manfred Brockhaus, Jeffrey I. Bennett, Andrew J. Paterson and Jeffrey Schlom and has published in prestigious journals such as Science, The Lancet and Journal of the American Chemical Society.

In The Last Decade

John L. Magnani

152 papers receiving 6.1k citations

Hit Papers

From carbohydrate leads to glyc... 1980 2026 1995 2010 2009 1983 1980 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. From carbohydrate leads to glycomimetic drugs
    2009 681 citations Beat Ernst, John L. Magnani profile →
  2. Identification of the gastrointestinal and pancreatic cancer-associated antigen detected by monoclonal antibody 19-9 in the sera of patients as a mucin.
    1983 488 citations John L. Magnani, Zenon Steplewski et al. PubMed profile →
  3. Detection of gangliosides that bind cholera toxin: Direct binding of 125I-labeled toxin to thin-layer chromatograms
    1980 429 citations John L. Magnani, Victor Ginsburg et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John L. Magnani United States 38 4.0k 1.5k 1.4k 1.3k 1.1k 153 6.4k
Lubor Borsig Switzerland 43 3.3k 0.8× 1.7k 1.1× 471 0.3× 497 0.4× 2.1k 1.9× 99 7.1k
Mark Ultsch United States 37 4.9k 1.2× 2.1k 1.4× 2.0k 1.5× 304 0.2× 1.6k 1.4× 62 8.7k
Philip J. Hogg Australia 50 4.0k 1.0× 1.1k 0.8× 481 0.4× 403 0.3× 613 0.5× 186 8.4k
Philip E. Thorpe United States 51 5.8k 1.4× 3.5k 2.4× 1.4k 1.0× 266 0.2× 2.6k 2.2× 134 10.6k
Wayne J. Fairbrother United States 51 6.7k 1.7× 2.4k 1.6× 729 0.5× 399 0.3× 1.9k 1.7× 122 9.1k
Thomas Meyer Switzerland 45 3.7k 0.9× 459 0.3× 576 0.4× 1.2k 0.9× 2.2k 1.9× 137 7.9k
Thomas E. Smithgall United States 52 4.3k 1.1× 1.5k 1.0× 372 0.3× 358 0.3× 1.9k 1.7× 175 7.7k
Dietmar W. Siemann United States 53 4.2k 1.1× 885 0.6× 1.2k 0.9× 730 0.6× 2.5k 2.2× 276 8.9k
David W. Fry United States 45 4.0k 1.0× 336 0.2× 723 0.5× 2.2k 1.7× 3.6k 3.2× 122 8.4k
Carlos Garcı́a-Echeverrı́a Switzerland 48 6.7k 1.7× 552 0.4× 572 0.4× 869 0.7× 2.9k 2.5× 130 9.1k

Countries citing papers authored by John L. Magnani

Since Specialization
Citations

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

Fields of papers citing papers by John L. Magnani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John L. Magnani. 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 John L. Magnani. The network helps show where John L. Magnani may publish in the future.

Co-authorship network of co-authors of John L. Magnani

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

All Works

20 of 20 papers shown
1.
Enjeti, Anoop, William E. Fogler, Theodore A Smith, et al.. (2024). Combining 5‐azacitidine with the E‐selectin antagonist uproleselan is an effective strategy to augment responses in myelodysplasia and acute myeloid leukaemia. British Journal of Haematology. 204(6). 2264–2274. 1 indexed citations
2.
Devata, Sumana, Dana E. Angelini, Susan Blackburn, et al.. (2020). Use of GMI‐1271, an E‐selectin antagonist, in healthy subjects and in 2 patients with calf vein thrombosis. Research and Practice in Thrombosis and Haemostasis. 4(2). 193–204. 16 indexed citations
3.
Festuccia, Claudio, Andrea Mancini, Giovanni Luca Gravina, et al.. (2019). Dual CXCR4 and E-Selectin Inhibitor, GMI-1359, Shows Anti-Bone Metastatic Effects and Synergizes with Docetaxel in Prostate Cancer Cell Intraosseous Growth. Cells. 9(1). 32–32. 23 indexed citations
4.
Esposito, Mark, Nandini Mondal, Todd M. Greco, et al.. (2019). Bone vascular niche E-selectin induces mesenchymal–epithelial transition and Wnt activation in cancer cells to promote bone metastasis. Nature Cell Biology. 21(5). 627–639. 179 indexed citations
5.
Myers, Daniel D., Patrick A. Lester, Angela E. Hawley, et al.. (2019). E-Selectin Inhibition: A New Way to Treat Proximal Deep Venous Thrombosis. Journal of Vascular Surgery Venous and Lymphatic Disorders. 7(2). 290–290. 4 indexed citations
6.
Laird, Christopher, Xiangfei Cheng, William E. Fogler, et al.. (2018). P‐ and E‐selectin receptor antagonism prevents human leukocyte adhesion to activated porcine endothelial monolayers and attenuates porcine endothelial damage. Xenotransplantation. 25(2). e12381–e12381. 19 indexed citations
7.
Magnani, John L., et al.. (2018). Clinical Trials and Applications of Galectin Antagonists. Trends in Glycoscience and Glycotechnology. 30(172). SE211–SE220. 40 indexed citations
8.
9.
Telen, Marilyn J., Ted Wun, Timothy L. McCavit, et al.. (2015). Randomized phase 2 study of GMI-1070 in SCD: reduction in time to resolution of vaso-occlusive events and decreased opioid use. Blood. 125(17). 2656–2664. 163 indexed citations
10.
Wun, Ted, Lori Styles, Laura DeCastro, et al.. (2014). Phase 1 Study of the E-Selectin Inhibitor GMI 1070 in Patients with Sickle Cell Anemia. PLoS ONE. 9(7). e101301–e101301. 52 indexed citations
11.
Steele, Maria M., Prakash Radhakrishnan, John L. Magnani, & Michael A. Hollingsworth. (2014). Abstract 4503: A small molecule glycomimetic antagonist of E-selectin (GMI-1271) prevents pancreatic tumor metastasis and offers a novel treatment for improved efficacy of chemotherapy. Cancer Research. 74(19_Supplement). 4503–4503. 5 indexed citations
12.
Natoni, Alessandro, Michele Moschetta, Siobhan Glavey, et al.. (2014). Multiple Myeloma Cells Express Functional E-Selectin Ligands Which Can be Inhibited Both in-Vitro and in-Vivo Leading to Prolongation of Survival in a Murine Transplant Model. Blood. 124(21). 4718–4718. 3 indexed citations
13.
Chang, Jungshan, John T. Patton, Arun K. Sarkar, et al.. (2010). GMI-1070, a novel pan-selectin antagonist, reverses acute vascular occlusions in sickle cell mice. Blood. 116(10). 1779–1786. 181 indexed citations
14.
Thoma, Gebhard, et al.. (2001). A Readily Available, Highly Potent E-Selectin Antagonist. Angewandte Chemie International Edition. 40(19). 3644–3644. 24 indexed citations
15.
Harris, Richard, et al.. (1999). Stable-Isotope-Assisted NMR Studies on 13C-Enriched Sialyl Lewisx in Solution and Bound to E-Selectin. Journal of the American Chemical Society. 121(11). 2546–2551. 49 indexed citations
16.
Kyogashima, Mamoru, James L. Mulshine, R. Ilona Linnoila, et al.. (1989). Antibody 624H12, which detects lung cancer at early stages, recognizes a sugar sequence in the glycosphingolipid difucosylneolactonorhexaosylceramide (V3FucIII3FucnLc6Cer). Archives of Biochemistry and Biophysics. 275(1). 309–314. 15 indexed citations
17.
Fredman, Pam, John L. Magnani, Marshall W. Nirenberg, & Victor Ginsburg. (1984). Monoclonal antibody A2B5 reacts with many gangliosides in neuronal tissue. Archives of Biochemistry and Biophysics. 233(2). 661–666. 104 indexed citations
18.
Magnani, John L., Zenon Steplewski, Hilary Koprowski, & Victor Ginsburg. (1983). Identification of the gastrointestinal and pancreatic cancer-associated antigen detected by monoclonal antibody 19-9 in the sera of patients as a mucin.. PubMed. 43(11). 5489–92. 488 indexed citations breakdown →
19.
Magnani, John L., Manfred Brockhaus, David F. Smith, & Victor Ginsburg. (1982). [14] Detection of glycolipid ligands by direct binding of carbohydrate-binding proteins to thin-layer chromatograms. Methods in enzymology on CD-ROM/Methods in enzymology. 83. 235–241. 62 indexed citations
20.
Dietzler, David N., Cynthia J. Lais, John L. Magnani, & Mary P. Leckie. (1974). Maintenance of the energy charge in the presence of large decreases in the total adenylate pool of Escherichia coli and concurrent changes in glucose-6-P, fructose-P2 and glycogen synthesis. Biochemical and Biophysical Research Communications. 60(3). 875–881. 33 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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