Lisa Meng

2.0k citations
35 papers · 683 · h-index 16

Impact in

  • Genetics top 5%
    • Neurogenetic and Muscular Disorders Research
  • Neurology top 5%
    • Amyotrophic Lateral Sclerosis Research

Papers in

    • Amyotrophic Lateral Sclerosis Research 16
    • Neurogenetic and Muscular Disorders Research 4

Lisa Meng

34 papers receiving 670 citations

Peers

Lisa Meng
Comparison fields: 5 of 71
  • Genetics 160
  • Neurology 214
  • Reproductive Medicine 61
  • Cardiology and Cardiovascular Medicine 99
  • Hematology 41
Replace Christian Bjørn Poulsen with:
Christian Bjørn Poulsen Denmark
Shirin Ardeshir‐Rouhani‐Fard United States
L. Marzorati Italy
Yajuan Gu China
Youming Guo United States
William E. Dodge United States
Akio Yasunaga Japan
Mar Orriols Spain
Sabrina Ramnarine United Kingdom
Matthias Haase Germany
Lisa Meng relative to Christian Bjørn Poulsen Denmark Christian Bjørn Poulsen's profile →
Citations per field
00.5×8.7×
Christian Bjørn Poulsen · 1×
Citations per year

Countries citing papers authored by Lisa Meng

Since Specialization
Citations

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

Fields of papers citing papers by Lisa Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200980
2 201762
3 200954
4 201753
5 200949
6 201047
7 202242
8 201632
9 201931
10 201329
11 201521
12 201021
13 201821
14 200918
15 201817
16 201716
17 201312
18 201811
19 201710
20 20248

About Lisa Meng

Lisa Meng is a scholar working on Neurology, Genetics, Pulmonary and Respiratory Medicine, Hematology and Molecular Biology, having authored 35 papers that have together received 683 indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (16 papers), Neurogenetic and Muscular Disorders Research (4 papers), Chronic Myeloid Leukemia Treatments (3 papers), Respiratory Support and Mechanisms (2 papers), Cystic Fibrosis Research Advances (2 papers), Cardiomyopathy and Myosin Studies (2 papers), Glutathione Transferases and Polymorphisms (2 papers) and Acute Myeloid Leukemia Research (1 paper). The work is most often cited by research in Genetics (160 citations), Neurology (214 citations), Reproductive Medicine (61 citations), Cardiology and Cardiovascular Medicine (99 citations) and Hematology (41 citations). Lisa Meng has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Andrew A. Wolff, Jeremy M. Shefner, Jinsy Andrews, Fady I. Malik, Marsha Jones, Gail L. Brown, Stacy A. Rudnicki, James Keck, Ignace Vergote and Naomi Galili. Their work appears in journals such as Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration, Blood, Journal of Hematology & Oncology, Journal of Medical Economics and Neurology.

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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