Tram Kim Lam

119 total papers · 2.9k total citations
54 papers, 2.0k citations indexed

About

Tram Kim Lam is a scholar working on Molecular Biology, Oncology and Epidemiology. According to data from OpenAlex, Tram Kim Lam has authored 54 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 13 papers in Oncology and 11 papers in Epidemiology. Recurrent topics in Tram Kim Lam's work include Global Cancer Incidence and Screening (7 papers), Nutrition, Genetics, and Disease (6 papers) and Nutritional Studies and Diet (6 papers). Tram Kim Lam is often cited by papers focused on Global Cancer Incidence and Screening (7 papers), Nutrition, Genetics, and Disease (6 papers) and Nutritional Studies and Diet (6 papers). Tram Kim Lam collaborates with scholars based in United States, Italy and Taiwan. Tram Kim Lam's co-authors include Anthony J. Alberg, Laura E. Caulfield, Stephen J. McPhee, Jeremiah Mock, Thoa Nguyen, Lisa Gallicchio, James G. Herman, Eliseo Güallar, Xuguang Tao and Karen A. Robinson and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and American Journal of Clinical Nutrition.

In The Last Decade

Tram Kim Lam

52 papers receiving 1.9k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Tram Kim Lam 568 453 320 288 271 54 2.0k
E. Zang 494 0.9× 557 1.2× 239 0.7× 300 1.0× 205 0.8× 37 2.0k
D. Trichopoulos 414 0.7× 600 1.3× 379 1.2× 248 0.9× 453 1.7× 62 2.6k
Valerio Ramazzotti 348 0.6× 464 1.0× 268 0.8× 327 1.1× 371 1.4× 61 1.9k
Jing Gao 413 0.7× 439 1.0× 281 0.9× 218 0.8× 354 1.3× 77 2.1k
Jose E. Castelao 857 1.5× 534 1.2× 310 1.0× 489 1.7× 193 0.7× 49 2.3k
Hin-Peng Lee 591 1.0× 395 0.9× 156 0.5× 193 0.7× 410 1.5× 39 2.2k
Cristina Fortes 431 0.8× 493 1.1× 203 0.6× 221 0.8× 301 1.1× 71 2.2k
Tomio Hirohata 306 0.5× 584 1.3× 361 1.1× 282 1.0× 376 1.4× 67 1.9k
Jane C. Schroeder 564 1.0× 797 1.8× 350 1.1× 488 1.7× 235 0.9× 52 2.3k
Manuela Gago-Domínguez 881 1.6× 571 1.3× 319 1.0× 638 2.2× 283 1.0× 51 2.6k

Countries citing papers authored by Tram Kim Lam

Since Specialization
Citations

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

Fields of papers citing papers by Tram Kim Lam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tram Kim Lam. 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 Tram Kim Lam. The network helps show where Tram Kim Lam may publish in the future.

Co-authorship network of co-authors of Tram Kim Lam

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

All Works

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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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