Hong Mu

3.4k citations
67 papers · 1.7k indexed · h-index 24

Impact in

  • Hematology top 1%
    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments
  • Genetics top 5%
    • Chronic Lymphocytic Leukemia Research

Papers in

    • Acute Myeloid Leukemia Research 15
    • Chronic Myeloid Leukemia Treatments 10
    • Immunotherapy and Immune Responses 7

Hong Mu

65 papers receiving 1.7k citations

Peers

Hong Mu
Comparison fields: 5 of 93
  • Hematology 642
  • Genetics 237
  • Immunology 346
  • Molecular Biology 980
  • Oncology 362
Replace Sinisa Dovat with:
Sinisa Dovat United States
Akira Kitanaka Japan
Alexandra E. Irvine United Kingdom
Boyka Markova Germany
Jeremy A. Ross United States
Markus Hansson Sweden
Marie‐Françoise Bourgeade France
F Takaku Japan
Sabina Ševčı́ková Czechia
Hein Schepers Netherlands
Hong Mu relative to Sinisa Dovat United States Sinisa Dovat's profile →
Citations per field
00.5×1.5×
Sinisa Dovat · 1×
Citations per year

Countries citing papers authored by Hong Mu

Since Specialization
Citations

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

Fields of papers citing papers by Hong Mu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 202223
2 202013
3 201949
4 201956
5 201922
6 201867
7 201871
8 201834
9 201731
10 2017204
11 201773
12 201652
13 20165
14 2016105
15 201595
16 201461
17 201233
18 200817
19 200631
20 200435

About Hong Mu

Hong Mu is a scholar working on Hematology, Immunology, Oncology, Molecular Biology and Genetics, having authored 67 papers that have together received 1.7k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (15 papers), Protein Degradation and Inhibitors (11 papers), Cell death mechanisms and regulation (10 papers), Chronic Myeloid Leukemia Treatments (10 papers), Immunotherapy and Immune Responses (7 papers), CAR-T cell therapy research (7 papers), Histone Deacetylase Inhibitors Research (6 papers) and RNA Interference and Gene Delivery (6 papers). The work is most often cited by research in Hematology (642 citations), Genetics (237 citations), Immunology (346 citations), Molecular Biology (980 citations) and Oncology (362 citations). Hong Mu has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Michael Andreeff, Vivian Ruvolo, Marina Konopleva, Changyi Chen, Po Yee Mak, Duncan H. Mak, Joel Johansson, Bing Z. Carter, Rongqing Pan and Jörge E. Cortes. Their work appears in journals such as Blood, Molecular Cancer Therapeutics, Cancer Research, Journal of Surgical Research and Leukemia.

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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