Robin Meng

406 citations
10 papers · 234 · h-index 5

Impact in

  • Physiology top 10%
    • Calcium signaling and nucleotide metabolism
  • Hematology top 10%
    • Multiple Myeloma Research and Treatments

Papers in

    • CAR-T cell therapy research 2
    • Cancer Immunotherapy and Biomarkers 2
    • Colorectal Cancer Treatments and Studies 1
    • Hematopoietic Stem Cell Transplantation 2

Robin Meng

8 papers receiving 231 citations

Peers

Robin Meng
Comparison fields: 5 of 42
  • Physiology 40
  • Hematology 73
  • Hepatology 49
  • Oncology 118
  • Genetics 31
Replace Nebojša Manojlović with:
Nebojša Manojlović Serbia
Zhongmin Maxwell Wang Australia
Jingquan Jia United States
Andy Boral United States
Sunil Gandhi United States
Francesca Sparano Italy
Nishi Kothari United States
Brian Munneke United States
Changzheng Du China
Marion Jacquin France
Robin Meng relative to Nebojša Manojlović Serbia Nebojša Manojlović's profile →
Citations per field
00.5×5.7×
Nebojša Manojlović · 1×
Citations per year

Countries citing papers authored by Robin Meng

Since Specialization
Citations

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

Fields of papers citing papers by Robin Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Robin Meng, 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 Robin Meng Line = papers co-authored together Robin Meng links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2019106
2 201283
3 202119
4 201718
5 20235
6 20231
7 20211
8 20221
9 20250
10 20250

About Robin Meng

Robin Meng is a scholar working on Oncology, Hematology, Obstetrics and Gynecology, Public Health, Environmental and Occupational Health and Radiology, Nuclear Medicine and Imaging, having authored 10 papers that have together received 234 indexed citations. Recurring topics across this work include Endometrial and Cervical Cancer Treatments (2 papers), Acute Lymphoblastic Leukemia research (2 papers), CAR-T cell therapy research (2 papers), Hematopoietic Stem Cell Transplantation (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (1 paper), Colorectal Cancer Treatments and Studies (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Physiology (40 citations), Hematology (73 citations), Hepatology (49 citations), Oncology (118 citations) and Genetics (31 citations). Robin Meng has collaborated with scholars based in United States, France and South Korea. Frequent co-authors include Giovanni Abbadessa, Kenneth C. Anderson, Ann‐Lii Cheng, Tsai‐Sheng Yang, Helen Lee, Helgi van de Velde, Chih‐Wei Yu, Ruey‐Kuen Hsieh, Thomas G. Martin and Wei-Shou Hwang. Their work appears in journals such as Annals of Oncology, Journal of Clinical Oncology, Transfusion, Journal of Hepatology and Cells.

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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