Ada Tam

10.2k total citations · 5 hit papers
45 papers, 5.7k citations indexed

About

Ada Tam is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Ada Tam has authored 45 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Immunology, 16 papers in Oncology and 13 papers in Molecular Biology. Recurrent topics in Ada Tam's work include Cancer Immunotherapy and Biomarkers (12 papers), Immune cells in cancer (12 papers) and Immune Cell Function and Interaction (11 papers). Ada Tam is often cited by papers focused on Cancer Immunotherapy and Biomarkers (12 papers), Immune cells in cancer (12 papers) and Immune Cell Function and Interaction (11 papers). Ada Tam collaborates with scholars based in United States, Japan and Taiwan. Ada Tam's co-authors include Richard L. Blosser, Drew M. Pardoll, Franck Housseau, Chirag H. Patel, Jonathan D. Powell, Hongni Fan, Kenneth W. Kinzler, Bert Vogelstein, Nickolas Papadopoulos and Brandon Luber and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Advanced Materials.

In The Last Decade

Ada Tam

45 papers receiving 5.7k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The Vigorous Immune Microenvironment of Microsatellite Instable Colon Cancer Is Balanced by Multiple Counter-Inhibitory Checkpoints

2014 1.1k citations Nicolás J. Llosa, Michael Cruise et al. Cancer Discovery profile →
Glutamine blockade induces divergent metabolic programs to overcome tumor immune evasion

2019 813 citations Robert D. Leone, Liang Zhao et al. Science profile →
Eradication of metastatic mouse cancers resistant to immune checkpoint blockade by suppression of myeloid-derived cells

2014 513 citations Ada Tam, Richard L. Blosser et al. profile →
Developing a pro-regenerative biomaterial scaffold microenvironment requires T helper 2 cells

2016 470 citations Kaitlyn Sadtler, Brian W. Allen et al. Science profile →
Targeting glutamine metabolism enhances tumor-specific immunity by modulating suppressive myeloid cells

2020 323 citations Min Hee Oh, Im‐Hong Sun et al. Journal of Clinical Investigation profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ada Tam United States	26	2.6k	2.6k	1.8k	1.0k	624	45	5.7k
Rakesh K. Singh United States	39	2.0k 0.8×	2.8k 1.1×	2.2k 1.2×	1.1k 1.1×	381 0.6×	93	5.6k
Terri McClanahan United States	21	4.1k 1.5×	4.1k 1.6×	2.1k 1.1×	758 0.7×	374 0.6×	37	8.3k
Katherine N. Weilbaecher United States	46	1.3k 0.5×	3.2k 1.2×	2.5k 1.4×	817 0.8×	375 0.6×	124	6.1k
Marc Schmitz Germany	46	3.2k 1.2×	2.8k 1.1×	2.0k 1.1×	440 0.4×	431 0.7×	173	6.4k
Zvi Granot Israel	33	2.8k 1.1×	1.9k 0.7×	1.9k 1.0×	533 0.5×	654 1.0×	58	5.5k
Yangqiu Li China	36	2.2k 0.8×	2.2k 0.8×	2.2k 1.2×	1.1k 1.0×	173 0.3×	294	5.5k
Genevieve M. Boland United States	30	1.4k 0.5×	2.3k 0.9×	2.1k 1.2×	744 0.7×	781 1.3×	121	5.6k
Leona Ling United States	28	2.3k 0.9×	1.9k 0.7×	2.2k 1.2×	497 0.5×	304 0.5×	49	5.2k
Seth B. Coffelt United Kingdom	34	4.6k 1.7×	3.6k 1.4×	2.7k 1.5×	1.3k 1.3×	453 0.7×	62	8.3k

Countries citing papers authored by Ada Tam

Since Specialization

Citations

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

Fields of papers citing papers by Ada Tam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ada Tam

This figure shows the co-authorship network connecting the top 25 collaborators of Ada Tam. A scholar is included among the top collaborators of Ada 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 Ada Tam. Ada Tam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Han, Jin, Christopher Cherry, Joscelyn C. Mejías, et al.. (2023). Age‐associated Senescent – T Cell Signaling Promotes Type 3 Immunity that Inhibits the Biomaterial Regenerative Response. Advanced Materials. 36(43). e2310476–e2310476. 9 indexed citations

Tam, Ada, et al.. (2023). THE EFFECTS OF BIOLOGIC AND SMALL MOLECULE INHIBITOR THERAPY ON THE MUCOSAL IMMUNE SYSTEM IN ULCERATIVE COLITIS. Inflammatory Bowel Diseases. 29(Supplement_1). S45–S46. 1 indexed citations

Patel, Chirag H., Emily Heikamp, Wei Xu, et al.. (2022). Cutting Edge: mTORC2 Regulates CD8+ Effector and Memory T Cell Differentiation through Serum and Glucocorticoid Kinase 1. The Journal of Immunology. 209(12). 2287–2291. 4 indexed citations

Shaikh, Fyza Y., Joell J. Gills, Fuad Mohammad, et al.. (2022). Murine fecal microbiota transfer models selectively colonize human microbes and reveal transcriptional programs associated with response to neoadjuvant checkpoint inhibitors. Cancer Immunology Immunotherapy. 71(10). 2405–2420. 22 indexed citations

Chung, Liam, David R. Maestas, Andriana Lebid, et al.. (2020). Interleukin 17 and senescent cells regulate the foreign body response to synthetic material implants in mice and humans. Science Translational Medicine. 12(539). 104 indexed citations

Oh, Min Hee, Im‐Hong Sun, Liang Zhao, et al.. (2020). Targeting glutamine metabolism enhances tumor-specific immunity by modulating suppressive myeloid cells. Journal of Clinical Investigation. 130(7). 3865–3884. 323 indexed citations breakdown →

Leone, Robert D., Liang Zhao, Judson M. Englert, et al.. (2019). Glutamine blockade induces divergent metabolic programs to overcome tumor immune evasion. Science. 366(6468). 1013–1021. 813 indexed citations breakdown →

Pan, Xiaoyu, Eran Ophir, Zoya Alteber, et al.. (2019). Mouse PVRIG Has CD8+ T Cell–Specific Coinhibitory Functions and Dampens Antitumor Immunity. Cancer Immunology Research. 7(2). 244–256. 45 indexed citations

Bai, Ren-Yuan, Dominic Esposito, Ada Tam, et al.. (2019). Feasibility of using NF1-GRD and AAV for gene replacement therapy in NF1-associated tumors. eScholarship (California Digital Library). 1 indexed citations

10.

Bai, Ren-Yuan, Dominic Esposito, Ada Tam, et al.. (2019). Feasibility of using NF1-GRD and AAV for gene replacement therapy in NF1-associated tumors. Gene Therapy. 26(6). 277–286. 32 indexed citations

11.

Danilova, Ludmila, Valsamo Anagnostou, Justina X. Caushi, et al.. (2018). The Mutation-Associated Neoantigen Functional Expansion of Specific T Cells (MANAFEST) Assay: A Sensitive Platform for Monitoring Antitumor Immunity. Cancer Immunology Research. 6(8). 888–899. 99 indexed citations

12.

Chan, June L., Shaoguang Wu, Abby L. Geis, et al.. (2018). Non-toxigenic Bacteroides fragilis (NTBF) administration reduces bacteria-driven chronic colitis and tumor development independent of polysaccharide A. Mucosal Immunology. 12(1). 164–177. 79 indexed citations

13.

Sun, Im‐Hong, Min Hee Oh, Liang Zhao, et al.. (2018). mTOR Complex 1 Signaling Regulates the Generation and Function of Central and Effector Foxp3+ Regulatory T Cells. The Journal of Immunology. 201(2). 481–492. 104 indexed citations

14.

Muroyama, Yuki, Thomas R. Nirschl, Christina M. Kochel, et al.. (2017). Stereotactic Radiotherapy Increases Functionally Suppressive Regulatory T Cells in the Tumor Microenvironment. Cancer Immunology Research. 5(11). 992–1004. 166 indexed citations

15.

Housseau, Franck, Shaoguang Wu, Elizabeth C. Wick, et al.. (2016). Redundant Innate and Adaptive Sources of IL17 Production Drive Colon Tumorigenesis. Cancer Research. 76(8). 2115–2124. 102 indexed citations

16.

Sadtler, Kaitlyn, Brian W. Allen, Matthew T. Wolf, et al.. (2016). Developing a pro-regenerative biomaterial scaffold microenvironment requires T helper 2 cells. Science. 352(6283). 366–370. 470 indexed citations breakdown →

17.

Orberg, Erik Thiele, Hongni Fan, Ada Tam, et al.. (2016). The myeloid immune signature of enterotoxigenic Bacteroides fragilis-induced murine colon tumorigenesis. Mucosal Immunology. 10(2). 421–433. 157 indexed citations

18.

Llosa, Nicolás J., Michael Cruise, Ada Tam, et al.. (2014). The Vigorous Immune Microenvironment of Microsatellite Instable Colon Cancer Is Balanced by Multiple Counter-Inhibitory Checkpoints. Cancer Discovery. 5(1). 43–51. 1112 indexed citations breakdown →

19.

Vasquez-Dunddel, David, Fan Pan, Qi Zeng, et al.. (2013). STAT3 regulates arginase-I in myeloid-derived suppressor cells from cancer patients. Journal of Clinical Investigation. 123(4). 1580–1589. 428 indexed citations

20.

Abenes, Gerardo, Xiaoyan Zhan, Walter Dunn, et al.. (2002). Genetic analyses of gene function and pathogenesis of murine cytomegalovirus by transposon-mediated mutagenesis. Journal of Clinical Virology. 25. 111–122. 10 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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