Ben S. Lam

643 citations
7 papers · 458 · h-index 5

Impact in

  • Aging top 5%
    • Genetics, Aging, and Longevity in Model Organisms
  • Hematology top 10%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research

Papers in

    • Hematopoietic Stem Cell Transplantation 4
    • Erythrocyte Function and Pathophysiology 3

Ben S. Lam

6 papers receiving 453 citations

Peers

Ben S. Lam
Comparison fields: 5 of 72
  • Aging 55
  • Hematology 89
  • Endocrine and Autonomic Systems 50
  • Physiology 189
  • Genetics 38
Replace Novella Guidi with:
Novella Guidi United States
Elodie Eury France
Adriano Torres Antonucci Italy
Shuxian Dong China
Samira Alliouachene United Kingdom
Susana Velasco United States
Robert T. Schinzel United States
Laura Clavaín Spain
Kehan Ren China
Julia Huei‐Mei Chang Taiwan
Ben S. Lam relative to Novella Guidi United States Novella Guidi's profile →
Citations per field
00.5×2.6×
Novella Guidi · 1×
Citations per year

Countries citing papers authored by Ben S. Lam

Since Specialization
Citations

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

Fields of papers citing papers by Ben S. Lam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Ben S. Lam, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ben S. Lam Line = papers co-authored together Ben S. Lam links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 2014346
2 201054
3 201134
4 201018
5 20164
6 20101
7 20101

About Ben S. Lam

Ben S. Lam is a scholar working on Hematology, Physiology, Cancer Research, Molecular Biology and Pediatrics, Perinatology and Child Health, having authored 7 papers that have together received 458 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (4 papers), Erythrocyte Function and Pathophysiology (3 papers), Neonatal Health and Biochemistry (1 paper), Cancer, Hypoxia, and Metabolism (1 paper), FOXO transcription factor regulation (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper), Chemokine receptors and signaling (1 paper) and Neonatal Respiratory Health Research (1 paper). The work is most often cited by research in Aging (55 citations), Hematology (89 citations), Endocrine and Autonomic Systems (50 citations), Physiology (189 citations) and Genetics (38 citations). Ben S. Lam has collaborated with scholars based in United States and Italy. Frequent co-authors include Gregor B. Adams, David I. Quinn, Laura Perin, Tanya B. Dorff, Stefano Da Sacco, Min Wei, Xiaoying Zhou, Chia‐Wei Cheng, Mario G. Mirisola and John J. Kopchick. Their work appears in journals such as Blood, Cell stem cell, PLoS ONE, European Journal of Cancer Supplements and International Journal of Laboratory Hematology.

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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