J. Michael McDaniel

3.9k citations
35 papers · 3.3k · h-index 25

Impact in

Papers in

J. Michael McDaniel

35 papers receiving 3.3k citations

Peers

J. Michael McDaniel
Comparison fields: 5 of 89
  • Immunology and Allergy 465
  • Hematology 443
  • Molecular Biology 1.4k
  • Immunology 349
  • Oncology 253
Replace Claire Turbide with:
Claire Turbide Canada
Samuel McGee United States
Mario S. Rosemblatt Chile
Marie‐Josèphe Rabiet France
Zhixing K. Pan United States
Dalila Darmoul France
Andrew Mark Smith United Kingdom
Subburaj Ilangumaran Canada
Ottmar Janßen Germany
Martin K. Wild Germany
J. Michael McDaniel relative to Claire Turbide Canada Claire Turbide's profile →
Citations per field
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Citations per year

Countries citing papers authored by J. Michael McDaniel

Since Specialization
Citations

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

Fields of papers citing papers by J. Michael McDaniel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. Michael McDaniel. 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 J. Michael McDaniel. The network helps show where J. Michael McDaniel may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011302
2 2007298
3 2013270
4 2002213
5 2008211
6 2002191
7 2020190
8 2004166
9 2004164
10 2008154
11 2016148
12 2016129
13 2017106
14 200893
15 201884
16 202168
17 201067
18 200254
19 201953
20 201351

About J. Michael McDaniel

J. Michael McDaniel is a scholar working on Immunology and Allergy, Hematology, Molecular Biology, Oncology and Immunology, having authored 35 papers that have together received 3.3k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (12 papers), Cell Adhesion Molecules Research (8 papers), Lymphatic System and Diseases (5 papers), Platelet Disorders and Treatments (5 papers), Complement system in diseases (2 papers), Atherosclerosis and Cardiovascular Diseases (2 papers), Hemoglobinopathies and Related Disorders (2 papers) and Inflammatory Bowel Disease (2 papers). The work is most often cited by research in Immunology and Allergy (465 citations), Hematology (443 citations), Molecular Biology (1.4k citations), Immunology (349 citations) and Oncology (253 citations). J. Michael McDaniel has collaborated with scholars based in United States, China and Belgium. Frequent co-authors include Lijun Xia, Rodger P. McEver, Tadayuki Yago, Richard D. Cummings, Samuel McGee, Jianxin Fu, Guangyu An, Jonathan G. Braun, Tongzhong Ju and Bo Wei. Their work appears in journals such as Blood, Journal of Clinical Investigation, JCI Insight, 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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