J. Michael McDaniel

28 papers receiving 2.9k citations

Peers

J. Michael McDaniel
Comparison fields: 5 of 98
  • Immunology and Allergy 562
  • Immunology 1.1k
  • Hematology 396
  • Molecular Biology 1.5k
  • Oncology 508
Replace Harald Burkhardt with:
Harald Burkhardt Germany
Stephan von Gunten Switzerland
Takeshi Tsubata Japan
Mark Renz United States
P E Lipsky United States
Bernard J. Scallon United States
Martin K. Wild Germany
Subburaj Ilangumaran Canada
Frans M.A. Hofhuis Netherlands
Dorothy Hudig United States
J. Michael McDaniel relative to Harald Burkhardt Germany Harald Burkhardt's profile →
Citations per field
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Harald Burkhardt · 1×
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 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007291
2 2011289
3 2013260
4 2008210
5 2002208
6 2002187
7 2004162
8 2004161
9 2008149
10 2016136
11 2016121
12 2017102
13 200893
14 201877
15 201067
16 202161
17 200254
18 201351
19 201949
20 201441

About J. Michael McDaniel

J. Michael McDaniel is a scholar working on Molecular Biology, Immunology, Oncology, Immunology and Allergy and Hematology, having authored 29 papers that have together received 2.9k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (10 papers), Cell Adhesion Molecules Research (7 papers), Carbohydrate Chemistry and Synthesis (5 papers), Lymphatic System and Diseases (4 papers), Protease and Inhibitor Mechanisms (4 papers), Proteoglycans and glycosaminoglycans research (4 papers), Galectins and Cancer Biology (3 papers) and Blood groups and transfusion (3 papers). The work is most often cited by research in Immunology and Allergy (562 citations), Immunology (1.1k citations), Hematology (396 citations), Molecular Biology (1.5k citations) and Oncology (508 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 Braun, Tongzhong Ju and Bo Wei. Their work appears in journals such as Blood, Journal of Clinical Investigation, Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Experimental Medicine.

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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