Joan Yuan

1.8k total citations
43 papers, 1.2k citations indexed

About

Joan Yuan is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Joan Yuan has authored 43 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 15 papers in Immunology and 10 papers in Oncology. Recurrent topics in Joan Yuan's work include T-cell and B-cell Immunology (10 papers), Immune Cell Function and Interaction (9 papers) and Hematopoietic Stem Cell Transplantation (6 papers). Joan Yuan is often cited by papers focused on T-cell and B-cell Immunology (10 papers), Immune Cell Function and Interaction (9 papers) and Hematopoietic Stem Cell Transplantation (6 papers). Joan Yuan collaborates with scholars based in United States, Sweden and Denmark. Joan Yuan's co-authors include Stefan A. Muljo, Xiu-Huai Liu, Cuong Nguyen, Chrysi Kanellopoulou, Trine Kristiansen, Timothy P. Bender, Michael P. Dieter, David Bryder, Young Soo Moon and C.W. Jameson and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Joan Yuan

41 papers receiving 1.2k citations

Peers

Joan Yuan
Comparison fields: 5 of 105
  • Immunology 483
  • Molecular Biology 433
  • Hematology 230
  • Cancer Research 160
  • Genetics 114
Replace Marnie A. Ryan with:
Marnie A. Ryan United States
Antônio Palumbo Brazil
Chanchal Sadhu United States
Søren E. Bjørn Denmark
Kageaki Kuribayashi Japan
Emmanuelle Rollet‐Labelle Canada
Yan Du China
Boyka Markova Germany
Qiao Cheng China
Laura Rossi Italy
Marnie A. Ryan United States View profile →
Citations per field, relative to Joan Yuan
Joan Yuan · 1×
Citations per year, relative to Joan Yuan
Joan Yuan · 1×

Countries citing papers authored by Joan Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Joan Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joan Yuan

This figure shows the co-authorship network connecting the top 25 collaborators of Joan Yuan. A scholar is included among the top collaborators of Joan Yuan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Joan Yuan. Joan Yuan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 6
3 0
4 9
5 41
6 16
7 37
8 260
9 43
10 64
11 2
12 7
13 24
14 24
15 10
16 32
17 4
18 14
19 60
20
INHIBITION OF GLYCERALDEHYDE-3-PHOSPHATE DEHYDROGENASE BY p-NITROPHENYLCARBAMOYLMETHYL BROMIDE
1

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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