S. Wee

1.8k total citations
45 papers, 1.3k citations indexed

About

S. Wee is a scholar working on Immunology, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, S. Wee has authored 45 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Immunology, 11 papers in Computer Vision and Pattern Recognition and 10 papers in Computer Networks and Communications. Recurrent topics in S. Wee's work include Renal Transplantation Outcomes and Treatments (9 papers), T-cell and B-cell Immunology (9 papers) and Advanced Data Compression Techniques (8 papers). S. Wee is often cited by papers focused on Renal Transplantation Outcomes and Treatments (9 papers), T-cell and B-cell Immunology (9 papers) and Advanced Data Compression Techniques (8 papers). S. Wee collaborates with scholars based in United States, France and Singapore. S. Wee's co-authors include J Apostolopoulos, Wai-Tian Tan, Tina Wong, A. Benedict Cosimi, Alejandro Aruffo, Tatsuo Kawai, Songqing Chen, Robert B. Colvin, Bo Shen and Gary L. Schieven and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Experimental Medicine and The EMBO Journal.

In The Last Decade

S. Wee

44 papers receiving 1.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
S. Wee United States 22 418 361 327 210 200 45 1.3k
Styrmir Sigurjonsson United States 21 67 0.2× 103 0.3× 22 0.1× 18 0.1× 143 0.7× 34 2.3k
Mitsuaki Akiyama Japan 22 89 0.2× 446 1.2× 11 0.0× 485 2.3× 12 0.1× 132 1.7k
Anthony T.C. Goh Singapore 15 59 0.1× 11 0.0× 296 0.9× 345 1.6× 52 0.3× 30 853
Syed Abbas Ali United States 13 378 0.9× 87 0.2× 14 0.0× 24 0.1× 18 0.1× 58 1.7k
Konstantin Miller Germany 17 59 0.1× 224 0.6× 283 0.9× 197 0.9× 56 1.5k
Guang Sheng Ling Hong Kong 18 754 1.8× 35 0.1× 54 0.2× 10 0.0× 8 0.0× 31 1.5k
Deyu Chen China 19 109 0.3× 237 0.7× 261 0.8× 41 0.2× 63 1.2k
Wim Verhaegh Netherlands 21 56 0.1× 432 1.2× 106 0.3× 114 0.5× 86 1.3k
Éva Latulippe Canada 11 91 0.2× 8 0.0× 143 0.4× 11 0.1× 78 0.4× 21 2.5k

Countries citing papers authored by S. Wee

Since Specialization
Citations

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

Fields of papers citing papers by S. Wee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Wee

This figure shows the co-authorship network connecting the top 25 collaborators of S. Wee. A scholar is included among the top collaborators of S. Wee 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 S. Wee. S. Wee 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
1.
Chan, Carri W., Nicholas Bambos, S. Wee, & J Apostolopoulos. (2009). Scheduling algorithms for broadcasting media with multiple distortion measures. IEEE Transactions on Wireless Communications. 8(8). 4188–4199. 8 indexed citations
2.
Kawai, Tatsuo, S. Wee, O. Nadazdin, et al.. (2006). Monitoring Antidonor Alloantibodies as a Predictive Assay for Renal Allograft Tolerance/Long-term Observations in Nonhuman Primates. Transplantation. 82(6). 819–825. 26 indexed citations
3.
Chakareski, Jacob, et al.. (2005). Rate-distortion hint tracks for adaptive video streaming. IEEE Transactions on Circuits and Systems for Video Technology. 15(10). 1257–1269. 54 indexed citations
4.
Conan, Vania, et al.. (2005). Study and validation of tools interoperability in JPSEC. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5909. 59090H–59090H. 2 indexed citations
5.
Kawai, Tatsuo, Hiroshi Sogawa, Svetlan Boskovic, et al.. (2004). CD154 Blockade for Induction of Mixed Chimerism and Prolonged Renal Allograft Survival in Nonhuman Primates. American Journal of Transplantation. 4(9). 1391–1398. 162 indexed citations
6.
Chakareski, Jacob, J Apostolopoulos, Wai-Tian Tan, S. Wee, & Bernd Girod. (2004). Distortion chains for predicting the video distortion for general packet loss patterns. 5. V–1001. 22 indexed citations
7.
Roy, Sumit, et al.. (2004). A system architecture for managing mobile streaming media services. 408–413. 17 indexed citations
8.
Kawai, Tatsuo, Hiroshi Sogawa, Maria Koulmanda, et al.. (2001). LONG-TERM ISLET ALLOGRAFT FUNCTION IN THE ABSENCE OF CHRONIC IMMUNOSUPPRESSION: A CASE REPORT OF A NONHUMAN PRIMATE PREVIOUSLY MADE TOLERANT TO A RENAL ALLOGRAFT FROM THE SAME DONOR1. Transplantation. 72(2). 351–354. 29 indexed citations
9.
Williams, Winfred W., A. Benedict Cosimi, Nina Tolkoff-Rubin, et al.. (1999). IN VIVO GENERATION OF C4d, Bb, iC3b, AND SC5b-9 AFTER OKT3 ADMINISTRATION IN KIDNEY AND LUNG TRANSPLANT RECIPIENTS1,2. Transplantation. 67(2). 253–258. 30 indexed citations
10.
Ko, Dicken S.C., Amelia Bartholomew, Alain Poncelet, et al.. (1998). Demonstration of multilineage chimerism in a nonhuman primate concordant xenograft model. Xenotransplantation. 5(4). 298–304. 10 indexed citations
11.
Mourad, Georges, Frederic I. Preffer, S. Wee, et al.. (1998). HUMANIZED IgG1 AND IgG4 ANTI-CD4 MONOCLONAL ANTIBODIES. Transplantation. 65(5). 632–641. 25 indexed citations
12.
Wee, S., Manuel Pascual, James D. Eason, et al.. (1997). BIOLOGICAL EFFECTS AND FATE OF A SOLUBLE, DIMERIC, 80-kDa TUMOR NECROSIS FACTOR RECEPTOR IN RENAL TRANSPLANT RECIPIENTS WHO RECEIVE OKT3 THERAPY1. Transplantation. 63(4). 570–577. 17 indexed citations
13.
Eason, James D., Manuel Pascual, S. Wee, et al.. (1996). EVALUATION OF RECOMBINANT HUMAN SOLUBLE DIMERIC TUMOR NECROSIS FACTOR RECEPTOR FOR PREVENTION OF OKT3-ASSOCIATED ACUTE CLINICAL SYNDROME1,2. Transplantation. 61(2). 224–228. 42 indexed citations
14.
Patel, Dhavalkumar D., S. Wee, Leona P. Whichard, et al.. (1995). Identification and characterization of a 100-kD ligand for CD6 on human thymic epithelial cells.. The Journal of Experimental Medicine. 181(4). 1563–1568. 127 indexed citations
15.
Eason, James D., S. Wee, Tatsuo Kawai, et al.. (1995). Inhibition Of The Effects Of Tnf In Renal Allograft Recipients Using Recombinant Human Dimeric Tumor Necrosis Factor Receptors. Transplantation. 59(2). 300–305. 24 indexed citations
16.
Wee, S., et al.. (1994). ANTI-CD4 mAb THERAPY SIGNIFICANTLY DELAYS THE ALLOANTIBODY RESPONSE IN A CYNOMOLGUS RENAL TRANSPLANT MODEL1. Transplantation. 58(2). 261–261. 2 indexed citations
17.
Wee, S., Gary L. Schieven, Jean Kirihara, et al.. (1993). Tyrosine phosphorylation of CD6 by stimulation of CD3: augmentation by the CD4 and CD2 coreceptors.. The Journal of Experimental Medicine. 177(1). 219–223. 54 indexed citations
18.
Powelson, John A., A. Benedict Cosimi, & S. Wee. (1993). Monoclonal antibodies in organ transplantation. Biotechnology Advances. 11(4). 725–740. 3 indexed citations
19.
20.
Wee, S., R B Colvin, FREDERIC I. PREFFER, et al.. (1989). Fc-RECEPTOR FOR MOUSE IgG1 (FCγRII) AND ANTIBODY-MEDIATED CELL CLEARANCE IN PATIENTS TREATED WITH Leu2a ANTIBODY. Transplantation. 48(6). 1012–1017. 24 indexed citations

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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