Margaret E. Schelling

1.1k citations
28 papers · 944 · h-index 14

Impact in

Papers in

Margaret E. Schelling

28 papers receiving 910 citations

Peers

Margaret E. Schelling
Comparison fields: 5 of 98
  • Physiology 59
  • Immunology and Allergy 65
  • Pathology and Forensic Medicine 133
  • Immunology 144
  • Reproductive Medicine 55
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Citations per year

Countries citing papers authored by Margaret E. Schelling

Since Specialization
Citations

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

Fields of papers citing papers by Margaret E. Schelling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Margaret E. Schelling. 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 Margaret E. Schelling. The network helps show where Margaret E. Schelling may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989168
2 1988143
3 199390
4 198877
5 199070
6 199067
7 199562
8
Basic fibroblast growth factor receptors and their prognostic value in human breast cancer.
199844
9 198635
10
Differential growth factor production, secretion, and response by high and low metastatic variants of B16BL6 melanoma.
199332
11
The nucleolar RNA-binding protein B-36 is highly conserved among plants.
198825
12
Blocking HER-2/HER-3 function with a dominant negative form of HER-3 in cells stimulated by heregulin and in breast cancer cells with HER-2 gene amplification.
200020
13 199218
14 198918
15 198812
16 200012
17 198610
18 19986
19 19916
20 20025

About Margaret E. Schelling

Margaret E. Schelling is a scholar working on Molecular Biology, Immunology and Allergy, Immunology, Radiology, Nuclear Medicine and Imaging and Cell Biology, having authored 28 papers that have together received 944 indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (6 papers), Angiogenesis and VEGF in Cancer (6 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Diatoms and Algae Research (3 papers), Slime Mold and Myxomycetes Research (3 papers), Proteoglycans and glycosaminoglycans research (3 papers), Fibroblast Growth Factor Research (3 papers) and HER2/EGFR in Cancer Research (2 papers). The work is most often cited by research in Physiology (59 citations), Immunology and Allergy (65 citations), Pathology and Forensic Medicine (133 citations), Immunology (144 citations) and Reproductive Medicine (55 citations). Margaret E. Schelling has collaborated with scholars based in United States and France. Frequent co-authors include Harris J. Granger, Cynthia J. Meininger, Peter R. Kvietys, W. Inauen, D. Neil Granger, Vincent Blanckaert, M. B. Grisham, James Hawker, Motohisa Suzuki and Mark E. Christensen. Their work appears in journals such as American Journal of Physiology-Heart and Circulatory Physiology, Plant Science, Molecular Endocrinology, Biology of the Cell and Regulatory Peptides.

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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