Marjory Stroup

33 total papers · 423 total citations
27 papers, 294 citations indexed

About

Marjory Stroup is a scholar working on Hematology, Genetics and Immunology. According to data from OpenAlex, Marjory Stroup has authored 27 papers receiving a total of 294 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Hematology, 7 papers in Genetics and 7 papers in Immunology. Recurrent topics in Marjory Stroup's work include Blood groups and transfusion (20 papers), Erythrocyte Function and Pathophysiology (6 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). Marjory Stroup is often cited by papers focused on Blood groups and transfusion (20 papers), Erythrocyte Function and Pathophysiology (6 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). Marjory Stroup collaborates with scholars based in United States. Marjory Stroup's co-authors include Philip Levine, J. McCreary, W. J. Judd, N. L. C. Luban, Leslie E. Silberstein, Paul M. Ness, Frances K. Widmann, Marino Celano, Godfrey Clark and W. L. Marsh and has published in prestigious journals such as Nature, Blood and Obstetrics and Gynecology.

In The Last Decade

Marjory Stroup

27 papers receiving 261 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Marjory Stroup	249	136	82	41	36	27	294
D Tripodi	161 0.6×	69 0.5×	51 0.6×	60 1.5×	35 1.0×	22	267
Rachel Jakobowicz	165 0.7×	68 0.5×	68 0.8×	51 1.2×	25 0.7×	32	244
P. H. Renton	182 0.7×	124 0.9×	65 0.8×	28 0.7×	36 1.0×	24	360
Ashley Bennett	228 0.9×	169 1.2×	64 0.8×	21 0.5×	64 1.8×	17	348
Ragnhild Øyen	236 0.9×	173 1.3×	83 1.0×	14 0.3×	91 2.5×	24	316
Erwin A. Scharberg	215 0.9×	210 1.5×	50 0.6×	34 0.8×	18 0.5×	27	322
P.Y. Le Pennec	224 0.9×	142 1.0×	58 0.7×	17 0.4×	28 0.8×	32	315
U. Furuhjelm	149 0.6×	133 1.0×	59 0.7×	43 1.0×	44 1.2×	29	346
E. Patten	143 0.6×	64 0.5×	38 0.5×	32 0.8×	98 2.7×	19	313
Yew‐Wah Liew	303 1.2×	249 1.8×	75 0.9×	35 0.9×	14 0.4×	33	325

Countries citing papers authored by Marjory Stroup

Since Specialization

Citations

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

Fields of papers citing papers by Marjory Stroup

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marjory Stroup. 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 Marjory Stroup. The network helps show where Marjory Stroup may publish in the future.

Co-authorship network of co-authors of Marjory Stroup

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

All Works

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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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