Na Man

7.4k citations
24 papers · 823 indexed · h-index 14

Impact in

    • Epigenetics and DNA Methylation
    • Cancer-related gene regulation
    • Histone Deacetylase Inhibitors Research
    • Protein Degradation and Inhibitors
    • RNA modifications and cancer
    • RNA Interference and Gene Delivery
  • Hematology top 10%
    • Acute Myeloid Leukemia Research

Papers in

    • Acute Myeloid Leukemia Research 6
    • Cancer-related gene regulation 7
    • Epigenetics and DNA Methylation 6
    • RNA Interference and Gene Delivery 3
    • Protein Degradation and Inhibitors 3
    • Ubiquitin and proteasome pathways 3

Na Man

23 papers receiving 815 citations

Peers

Na Man
Comparison fields: 5 of 89
  • Molecular Biology 649
  • Hematology 103
  • Polymers and Plastics 72
  • Aging 8
  • Cancer Research 53
Replace Alan Bilsland with:
Alan Bilsland United Kingdom
Freddy Schoetens United States
Zixi Wang China
Chia‐Yi Lin Taiwan
Go Woon Kim South Korea
Can Huang China
Fiona H. Tan Australia
Barbara J. Bailey United States
Aibin Shi United States
D. Gaál Hungary
Na Man relative to Alan Bilsland United Kingdom Alan Bilsland's profile →
Citations per field
00.5×7.4×
Alan Bilsland · 1×
Citations per year

Countries citing papers authored by Na Man

Since Specialization
Citations

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

Fields of papers citing papers by Na Man

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20255
2 20242
3 20227
4 202111
5 202045
6 201934
7 20191
8 201823
9 2018142
10 201614
11 201628
12 201655
13 201595
14 201525
15 2015106
16 20146
17 201438
18 201057
19 20092
20 200683

About Na Man

Na Man is a scholar working on Hematology, Molecular Biology, Virology, Immunology and Computational Theory and Mathematics, having authored 24 papers that have together received 823 indexed citations. Recurring topics across this work include Cancer-related gene regulation (7 papers), Acute Myeloid Leukemia Research (6 papers), Epigenetics and DNA Methylation (6 papers), RNA Interference and Gene Delivery (3 papers), Protein Degradation and Inhibitors (3 papers), Autophagy in Disease and Therapy (3 papers), Ubiquitin and proteasome pathways (3 papers) and Immunodeficiency and Autoimmune Disorders (2 papers). The work is most often cited by research in Molecular Biology (649 citations), Hematology (103 citations), Polymers and Plastics (72 citations), Aging (8 citations) and Cancer Research (53 citations). Na Man has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Stephen D. Nimer, Lan Wang, Fan Liu, Sarah Greenblatt, Pierre-Jacques Hamard, Stephen D. Nimer, Xiao‐Jian Sun, Longping Wen, Yurong Tan and Daniel Karl. Their work appears in journals such as Blood, Nature Communications, Journal of Clinical Investigation, European Journal of Medicinal Chemistry and Autophagy.

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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