Michael Nathan Hedrick
Impact in
- Immunology top 5%
- Psoriasis: Treatment and Pathogenesis
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- Biosimilars and Bioanalytical Methods
- Parasitology top 5%
- Vector-borne infectious diseases
Papers in
- Immunology 18
- Biosimilars and Bioanalytical Methods 7
- T-cell and B-cell Immunology 6
- Psoriasis: Treatment and Pathogenesis 5
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- Cell Image Analysis Techniques 7
- Co-authors
- Joshua M. Farber (8 shared papers)Hongwei H. Zhang (4 shared papers)SATYA PRAKASH SINGH (4 shared papers)John F. Foley (3 shared papers)Juan Anguíta (7 shared papers)Samuel T. Hwang (2 shared papers)Anke S. Lonsdorf (2 shared papers)Tonya C. Bates (4 shared papers)
- Journals
- Bioanalysis (7 papers)Infection and Immunity (3 papers)The Journal of Immunology (2 papers)Cytometry Part B Clinical Cytometry (2 papers)Cytometry Part A (2 papers)
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Michael Nathan Hedrick
28 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 100
- Immunology 791
- Parasitology 125
- Dermatology 166
- Oncology 233
- Biophysics 39
Countries citing papers authored by Michael Nathan Hedrick
This map shows the geographic impact of Michael Nathan Hedrick'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 Michael Nathan Hedrick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Nathan Hedrick more than expected).
Fields of papers citing papers by Michael Nathan Hedrick
This network shows the impact of papers produced by Michael Nathan Hedrick. 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 Michael Nathan Hedrick. The network helps show where Michael Nathan Hedrick may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Nathan Hedrick, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 317 | |
| 2 | 2009 | 212 | |
| 3 | 2016 | 145 | |
| 4 | 2006 | 137 | |
| 5 | 2019 | 78 | |
| 6 | 2003 | 69 | |
| 7 | 2010 | 53 | |
| 8 | 2020 | 31 | |
| 9 | 2021 | 29 | |
| 10 | 2002 | 29 | |
| 11 | 2021 | 22 | |
| 12 | 2022 | 21 | |
| 13 | 2019 | 20 | |
| 14 | 2019 | 19 | |
| 15 | 2022 | 15 | |
| 16 | 2006 | 14 | |
| 17 | 2010 | 13 | |
| 18 | 2012 | 12 | |
| 19 | 2005 | 11 | |
| 20 | 2023 | 11 |
About Michael Nathan Hedrick
Michael Nathan Hedrick is a scholar working on Immunology, Biophysics, Parasitology, Oncology and Infectious Diseases, having authored 28 papers that have together received 1.3k indexed citations. Recurring topics across this work include Biosimilars and Bioanalytical Methods (7 papers), Cell Image Analysis Techniques (7 papers), T-cell and B-cell Immunology (6 papers), Psoriasis: Treatment and Pathogenesis (5 papers), Vector-borne infectious diseases (5 papers), Heat shock proteins research (3 papers), Biosensors and Analytical Detection (3 papers) and Single-cell and spatial transcriptomics (3 papers). The work is most often cited by research in Immunology (791 citations), Parasitology (125 citations), Dermatology (166 citations), Oncology (233 citations) and Biophysics (39 citations). Michael Nathan Hedrick has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Joshua M. Farber, Hongwei H. Zhang, SATYA PRAKASH SINGH, John F. Foley, Juan Anguíta, Samuel T. Hwang, Anke S. Lonsdorf, Tonya C. Bates, Erol Fikrig and Chris M. Olson. Their work appears in journals such as Bioanalysis, Infection and Immunity, The Journal of Immunology, Cytometry Part B Clinical Cytometry and Cytometry Part A.
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.