Daniel A. Mitchell

9.4k citations
126 papers · 7.5k indexed · 2 hit papers · h-index 41

Daniel A. Mitchell

123 papers receiving 7.3k citations

Hit Papers

Optical Deformability as an Inherent Cell Marker for Test...1.1k20012026200920172505007501000

Peers

Daniel A. Mitchell
Comparison fields: 5 of 152
  • Immunology 2.5k
  • Virology 388
  • Equine 111
  • Cell Biology 955
  • Transplantation 127
Replace Jerry H. Brown with:
Jerry H. Brown United States
Christopher R. Parish Australia
Hiroshi Fujiwara Japan
Peter Perlmann Sweden
F. Borek United States
Narla Mohandas United States
Jonathan W. Uhr United States
Hervé Bazin Belgium
Michael Edidin United States
Wayne I. Lencer United States
Daniel A. Mitchell relative to Jerry H. Brown United States Jerry H. Brown's profile →
Citations per field
00.5×11.1×
Jerry H. Brown · 1×
Citations per year

Countries citing papers authored by Daniel A. Mitchell

Since Specialization
Citations

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

Fields of papers citing papers by Daniel A. Mitchell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel A. Mitchell. 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 Daniel A. Mitchell. The network helps show where Daniel A. Mitchell may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20243
2 202212
3 20216
4 202110
5 20204
6 201732
7 201734
8 201714
9 201529
10 2013102
11 201139
12 201144
13 20101
14 20104
15 201016
16 200927
17 200842
18 200744
19 197221
20
Abortion Diseases of Livestock
19691

About Daniel A. Mitchell

Daniel A. Mitchell is a scholar working on Transplantation, Immunology and Virology, having authored 126 papers that have together received 7.5k indexed citations. Recurring topics across this work include Complement system in diseases (21 papers), Glycosylation and Glycoproteins Research (16 papers), Immunotherapy and Immune Responses (14 papers), Immune Cell Function and Interaction (13 papers), Monoclonal and Polyclonal Antibodies Research (13 papers), Renal Transplantation Outcomes and Treatments (11 papers), HIV Research and Treatment (10 papers) and Reproductive Biology and Fertility (9 papers). The work is most often cited by research in Immunology (2.5k citations), Virology (388 citations) and Equine (111 citations). Daniel A. Mitchell has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Kurt Drickamer, H. Feinberg, William I. Weis, Russell Wallis, Andrew J. Fadden, Matthew I. Gibson, David M. Haddleton, Manu Vatish, Robert C. Deller and Bryan Lincoln. Their work appears in journals such as The Journal of Physiology, Journal of Biological Chemistry, The Journal of Immunology, Immunobiology and Theriogenology.

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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