See‐Ying Tam

3.1k total citations
42 papers, 2.7k citations indexed

About

See‐Ying Tam is a scholar working on Molecular Biology, Immunology and Cellular and Molecular Neuroscience. According to data from OpenAlex, See‐Ying Tam has authored 42 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 19 papers in Immunology and 11 papers in Cellular and Molecular Neuroscience. Recurrent topics in See‐Ying Tam's work include Mast cells and histamine (17 papers), Asthma and respiratory diseases (8 papers) and Neuropeptides and Animal Physiology (6 papers). See‐Ying Tam is often cited by papers focused on Mast cells and histamine (17 papers), Asthma and respiratory diseases (8 papers) and Neuropeptides and Animal Physiology (6 papers). See‐Ying Tam collaborates with scholars based in United States, France and Hong Kong. See‐Ying Tam's co-authors include Robert H. Roth, Ariel Y. Deutch, Michele Pagano, Mindy Tsai, Richard Schlegel, Stephen J. Galli, W Meikrantz, Stephen S. Gisselbrecht, J W Shay and Giulio Draetta and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

See‐Ying Tam

42 papers receiving 2.6k citations

Peers

See‐Ying Tam
Comparison fields: 5 of 118
  • Molecular Biology 1.2k
  • Cellular and Molecular Neuroscience 781
  • Oncology 585
  • Immunology 578
  • Physiology 359
Replace Brian Bates with:
Brian Bates United States
Ralf Stumm Germany
Ilse Bartke Germany
Marie‐Françoise Belin France
G.D. Yancopoulos United States
Theo Mantamadiotis Australia
Roberto Gradini Italy
Laura Sanders United States
Kunio Tashiro Japan
Brian Bates United States View profile →
Citations per field, relative to See‐Ying Tam
See‐Ying Tam · 1×
Citations per year, relative to See‐Ying Tam
See‐Ying Tam · 1×

Countries citing papers authored by See‐Ying Tam

Since Specialization
Citations

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

Fields of papers citing papers by See‐Ying Tam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by See‐Ying Tam. 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 See‐Ying Tam. The network helps show where See‐Ying Tam may publish in the future.

Co-authorship network of co-authors of See‐Ying Tam

This figure shows the co-authorship network connecting the top 25 collaborators of See‐Ying Tam. A scholar is included among the top collaborators of See‐Ying Tam 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 See‐Ying Tam. See‐Ying Tam 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 25
2 125
3 6
4 39
5 5
6 8
7 9
8 4
9 65
10 54
11 55
12 36
13 4
14 10
15 7
16 35
17 72
18 17
19 7
20 287

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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