M B Whitlow

15 total papers · 687 total citations
13 papers, 549 citations indexed

About

M B Whitlow is a scholar working on Physiology, Immunology and Molecular Biology. According to data from OpenAlex, M B Whitlow has authored 13 papers receiving a total of 549 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Physiology, 9 papers in Immunology and 3 papers in Molecular Biology. Recurrent topics in M B Whitlow's work include Erythrocyte Function and Pathophysiology (9 papers), Complement system in diseases (4 papers) and Toxin Mechanisms and Immunotoxins (4 papers). M B Whitlow is often cited by papers focused on Erythrocyte Function and Pathophysiology (9 papers), Complement system in diseases (4 papers) and Toxin Mechanisms and Immunotoxins (4 papers). M B Whitlow collaborates with scholars based in United States and Germany. M B Whitlow's co-authors include L E Ramm, Victor Nussenzweig, Kei Iida, Manfred M. Mayer, M L Shin, Barbara E. Golden, Carlos J. Lozada, Patricia Marshall, Dwight Naime and Bruce N. Cronstein and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

M B Whitlow

13 papers receiving 529 citations

Author Peers

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

Author Last Decade Papers Cites
M B Whitlow 337 179 131 96 67 13 549
Azubuike I. Okemefuna 297 0.9× 155 0.9× 102 0.8× 122 1.3× 57 0.9× 14 541
L E Ramm 358 1.1× 205 1.1× 125 1.0× 62 0.6× 30 0.4× 15 600
Tünde Hidvégi 316 0.9× 104 0.6× 59 0.5× 108 1.1× 106 1.6× 13 591
Beryl E. Moffatt 376 1.1× 183 1.0× 47 0.4× 161 1.7× 63 0.9× 14 570
David F. Carney 349 1.0× 183 1.0× 88 0.7× 61 0.6× 22 0.3× 13 530
Annapurna Nayak 284 0.8× 136 0.8× 61 0.5× 66 0.7× 73 1.1× 11 594
R G Oldroyd 328 1.0× 108 0.6× 68 0.5× 170 1.8× 47 0.7× 13 517
Umakhanth Venkatraman Girija 331 1.0× 117 0.7× 31 0.2× 96 1.0× 95 1.4× 21 514
Rosalie Lubbers 275 0.8× 110 0.6× 61 0.5× 44 0.5× 95 1.4× 10 536
Marta Subías 425 1.3× 95 0.5× 58 0.4× 78 0.8× 48 0.7× 10 549

Countries citing papers authored by M B Whitlow

Since Specialization
Citations

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

Fields of papers citing papers by M B Whitlow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M B Whitlow. 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 M B Whitlow. The network helps show where M B Whitlow may publish in the future.

Co-authorship network of co-authors of M B Whitlow

This figure shows the co-authorship network connecting the top 25 collaborators of M B Whitlow. A scholar is included among the top collaborators of M B Whitlow 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 M B Whitlow. M B Whitlow 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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