Jane Mitchell

1.9k citations
15 papers · 1.6k · h-index 13

Impact in

    • Blood transfusion and management
  • Hematology top 2%
    • Platelet Disorders and Treatments
    • Blood Coagulation and Thrombosis Mechanisms

Papers in

Jane Mitchell

15 papers receiving 1.5k citations

Peers

Jane Mitchell
Comparison fields: 5 of 64
  • Biochemistry 311
  • Hematology 574
  • Physiology 262
  • Cardiology and Cardiovascular Medicine 225
  • Developmental Neuroscience 26
Replace Amy M. Mohan with:
Amy M. Mohan United States
Markus Böck Germany
Jean‐Yves Devaux France
Robert T. Wall United States
Janka Kisucka United States
Michael V. Cutaia United States
Petra S. Koehne Germany
Chanil Moon South Korea
Pratyusha Yalamanchi United States
Hiroshi Kamihata Japan
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Citations per field
00.5×5×10×15×18.3×
Amy M. Mohan · 1×
Citations per year

Countries citing papers authored by Jane Mitchell

Since Specialization
Citations

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

Fields of papers citing papers by Jane Mitchell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 1991248
2 1995245
3 1992233
4 1999223
5 1991192
6 2005149
7 1989103
8 200568
9 200443
10 199434
11 199031
12 199123
13 199819
14 199711
15 20062

About Jane Mitchell

Jane Mitchell is a scholar working on Hematology, Developmental Neuroscience, Biochemistry, Physiology and Molecular Biology, having authored 15 papers that have together received 1.6k indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (7 papers), Blood transfusion and management (2 papers), TGF-β signaling in diseases (2 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Protein Kinase Regulation and GTPase Signaling (1 paper), Protein Tyrosine Phosphatases (1 paper), Fibroblast Growth Factor Research (1 paper) and Cell death mechanisms and regulation (1 paper). The work is most often cited by research in Biochemistry (311 citations), Hematology (574 citations), Physiology (262 citations), Cardiology and Cardiovascular Medicine (225 citations) and Developmental Neuroscience (26 citations). Jane Mitchell has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Kenneth A. Ault, Henry M. Rinder, Robert S. Hillman, Chiara Battelli, Joseph M. Verdi, George E. Bokinsky, Michael J. Miller, Christine Stowe Rinder, Mark F. Murphy and Calvin Vary. Their work appears in journals such as Molecular and Cellular Biology, American Journal of Clinical Pathology, Platelets, Journal of the American College of Cardiology and CHEST Journal.

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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