Mingzhe Han

815 citations
39 papers · 489 indexed · h-index 12

Mingzhe Han

36 papers receiving 483 citations

Peers

Mingzhe Han
Comparison fields: 5 of 81
  • Molecular Biology 299
  • Human-Computer Interaction 22
  • Hematology 40
  • Cognitive Neuroscience 59
  • Computational Theory and Mathematics 37
Replace Takashi Nakakuki with:
Takashi Nakakuki Japan
Weifeng Ma China
Liqian Zhang China
Viviane S. Ghaderi United States
Wennan Chang United States
Marko Vuskovic United States
Wenjian Bi China
Cheng Quan China
Yongbin Chen China
Mingzhe Han relative to Takashi Nakakuki Japan Takashi Nakakuki's profile →
Citations per field
00.5×5.7×
Takashi Nakakuki · 1×
Citations per year

Countries citing papers authored by Mingzhe Han

Since Specialization
Citations

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

Fields of papers citing papers by Mingzhe Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20248
2 20240
3 20237
4 202214
5 202212
6 202255
7 20211
8 20211
9 202113
10 202182
11 20210
12 202025
13 201794
14 20156
15
[Clinical features and antimicrobial resistance of Gram positive bacterial blood stream infection in patients with hematologic diseases].
20124
16
[Relationships between the gene polymorphisms of drug metabolizing enzymes and the outcome of the first induction chemotherapy in patients with de novo acute myeloid leukemia].
20111
17 20101
18 20109
19 19942
20
Fever of Unknown Origin after Transplantation of Hemopoietic Stem-cells in 15 Cases of Leukemia
19921

About Mingzhe Han

Mingzhe Han is a scholar working on Hematology, Transplantation and Human-Computer Interaction, having authored 39 papers that have together received 489 indexed citations. Recurring topics across this work include DNA and Biological Computing (9 papers), Advanced biosensing and bioanalysis techniques (7 papers), Hematopoietic Stem Cell Transplantation (5 papers), Genomics and Chromatin Dynamics (4 papers), Acute Myeloid Leukemia Research (4 papers), CRISPR and Genetic Engineering (3 papers), Retinoids in leukemia and cellular processes (3 papers) and Hematological disorders and diagnostics (3 papers). The work is most often cited by research in Molecular Biology (299 citations), Human-Computer Interaction (22 citations) and Hematology (40 citations). Mingzhe Han has collaborated with scholars based in China, Japan and New Zealand. Frequent co-authors include Ying‐Jin Yuan, Weigang Chen, Lifu Song, Bing‐Zhi Li, Panpan Wang, Haoran Zhao, Xinchen Zhang, Siyu Zhu, Wenbin Cao and Ying Sun. Their work appears in journals such as Angewandte Chemie International Edition, Nature Communications and SHILAP Revista de lepidopterología.

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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