Ralph D. Sanderson

13.5k citations
128 papers · 11.1k indexed · 1 hit paper · h-index 64
Topics
Proteoglycans and glycosaminoglycans research (101 papers)Glycosylation and Glycoproteins Research (54 papers)Multiple Myeloma Research and Treatments (44 papers)
Partner nations
United StatesIsraelItaly

In The Last Decade

Ralph D. Sanderson

127 papers receiving 11.0k citations

Hit Papers

Global gene expression profiling of multiple myeloma, mon...20022026201020182002100200300400500

Peers

Ralph D. Sanderson
Comparison fields: 5 of 132
  • Molecular Biology 7.2k
  • Cell Biology 6.0k
  • Hematology 2.1k
  • Cancer Research 2.1k
  • Oncology 1.8k
Replace Neta Ilan with:
Neta Ilan Israel
Alan C. Rapraeger United States
Martin Götte Germany
John T. Gallagher United Kingdom
Samuel A. Santoro United States
Kairbaan Hodivala‐Dilke United Kingdom
Markku Jalkanen Finland
Olli Saksela Finland
Raija Tammi Finland
Jorma Keski‐Oja Finland
Ralph D. Sanderson relative to Neta Ilan Israel Neta Ilan's profile →
Citations per field
00.5×1.5×2.2×
Neta Ilan · 1×
Citations per year

Countries citing papers authored by Ralph D. Sanderson

Since Specialization
Citations

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

Fields of papers citing papers by Ralph D. Sanderson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ralph D. Sanderson. 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 Ralph D. Sanderson. The network helps show where Ralph D. Sanderson may publish in the future.

Co-authorship network of co-authors of Ralph D. Sanderson

This figure shows the co-authorship network connecting the top 25 collaborators of Ralph D. Sanderson. A scholar is included among the top collaborators of Ralph D. Sanderson 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 Ralph D. Sanderson. Ralph D. Sanderson 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
#WorkIndexed citations
1 4
2 21
3 2
4 20
5 24
6 38
7 57
8 282
9 209
10 56
11 122
12 115
13 41
14
High heparanase activity in multiple myeloma is associated with elevated microvessel density.
146
15 47
16 35
17 1
18 1
19 145
20 178

About Ralph D. Sanderson

Ralph D. Sanderson is a scholar working on Cell Biology, Hematology and Immunology and Allergy, having authored 128 papers that have together received 11.1k indexed citations. Recurring topics across this work include Proteoglycans and glycosaminoglycans research (101 papers), Glycosylation and Glycoproteins Research (54 papers) and Multiple Myeloma Research and Treatments (44 papers). The work is most often cited by research in Cell Biology (6.0k citations), Immunology and Allergy (1.5k citations) and Hematology (2.1k citations). Ralph D. Sanderson has collaborated with scholars based in United States, Israel and Italy. Frequent co-authors include Israël Vlodavsky, Merton Bernfield, Renato V. Iozzo, Anurag Purushothaman, Yang Yang, Vishnu C. Ramani, Neta Ilan, Paul A. Lalor, Thomas J. Kelly and Shyam Bandari. Their work appears in journals such as Chemical Reviews, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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