J. Michael McDaniel
Impact in
- Immunology and Allergy top 1%
- Cell Adhesion Molecules Research
- Immunology top 2%
- Galectins and Cancer Biology
Papers in
-
- Glycosylation and Glycoproteins Research 10
- Immunology 10
- Galectins and Cancer Biology 3
- Co-authors
- Lijun Xia (29 shared papers)Rodger P. McEver (12 shared papers)Tadayuki Yago (11 shared papers)Richard D. Cummings (7 shared papers)Samuel McGee (15 shared papers)Jianxin Fu (13 shared papers)Guangyu An (3 shared papers)Jonathan Braun (4 shared papers)
- Journals
- Blood (6 papers)Journal of Clinical Investigation (5 papers)Journal of Biological Chemistry (3 papers)Proceedings of the National Academy of Sciences (3 papers)Cell Death and Differentiation (2 papers)
- Partner nations
- United StatesChinaBelgium
In The Last Decade
J. Michael McDaniel
28 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 97
- Immunology and Allergy 540
- Immunology 1.0k
- Hematology 365
- Molecular Biology 1.4k
- Oncology 496
Countries citing papers authored by J. Michael McDaniel
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
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.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 276 | |
| 2 | 2007 | 274 | |
| 3 | 2013 | 251 | |
| 4 | 2002 | 201 | |
| 5 | 2008 | 195 | |
| 6 | 2002 | 181 | |
| 7 | 2004 | 150 | |
| 8 | 2008 | 148 | |
| 9 | 2004 | 147 | |
| 10 | 2016 | 134 | |
| 11 | 2016 | 120 | |
| 12 | 2017 | 96 | |
| 13 | 2008 | 90 | |
| 14 | 2018 | 77 | |
| 15 | 2010 | 63 | |
| 16 | 2021 | 60 | |
| 17 | 2002 | 51 | |
| 18 | 2013 | 50 | |
| 19 | 2019 | 48 | |
| 20 | 2014 | 41 |
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 2.8k 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 (540 citations), Immunology (1.0k citations), Hematology (365 citations), Molecular Biology (1.4k citations) and Oncology (496 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, Journal of Biological Chemistry, Proceedings of the National Academy of Sciences and Cell Death and Differentiation.
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.