Jamie Case

2.9k citations
63 papers · 2.2k · h-index 20

Impact in

Papers in

    • Angiogenesis and VEGF in Cancer 16
    • Congenital heart defects research 5
    • Pluripotent Stem Cells Research 4
    • Lymphatic System and Diseases 5

Jamie Case

63 papers receiving 2.2k citations

Peers

Jamie Case
Comparison fields: 5 of 97
  • Genetics 382
  • Cancer Research 275
  • Molecular Biology 1.2k
  • Obstetrics and Gynecology 122
  • Transplantation 33
Replace Afzal J. Naiyer with:
Afzal J. Naiyer United States
Peetra U. Magnusson Sweden
Jennifer Ryan United Kingdom
Maria G. Roubelakis Greece
Fangming Lin United States
Rebecca Pelekanos Australia
Giuseppina Bonanno Italy
Martin Erdel Austria
Sandra Pommey Canada
Anna Solovey United States
Jamie Case relative to Afzal J. Naiyer United States Afzal J. Naiyer's profile →
Citations per field
00.5×1.5×2.4×
Afzal J. Naiyer · 1×
Citations per year

Countries citing papers authored by Jamie Case

Since Specialization
Citations

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

Fields of papers citing papers by Jamie Case

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007432
2 2008409
3 2007240
4 2012118
5 200894
6 200888
7 201073
8 201064
9 200959
10 200544
11 201331
12 200830
13 201429
14 201927
15 200925
16 200925
17 201125
18 201324
19 201623
20 201622

About Jamie Case

Jamie Case is a scholar working on Molecular Biology, Oncology, Genetics, Surgery and Transplantation, having authored 63 papers that have together received 2.2k indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (16 papers), Mesenchymal stem cell research (8 papers), Renal Transplantation Outcomes and Treatments (7 papers), Hematopoietic Stem Cell Transplantation (5 papers), Lymphatic System and Diseases (5 papers), Congenital heart defects research (5 papers), Pluripotent Stem Cells Research (4 papers) and Immune Cell Function and Interaction (4 papers). The work is most often cited by research in Genetics (382 citations), Cancer Research (275 citations), Molecular Biology (1.2k citations), Obstetrics and Gynecology (122 citations) and Transplantation (33 citations). Jamie Case has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Mervin C. Yöder, David A. Ingram, Daniel N. Prater, Julie A. Mund, Laura S. Haneline, Bart Vandekerckhove, Jean Plum, Frank Timmermans, D A Ingram and Laura E. Mead. Their work appears in journals such as Experimental Hematology, PLoS ONE, Pediatric Research, Biopreservation and Biobanking and Experimental Biology and 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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