Dalong Ma

6.0k citations
169 papers · 4.7k indexed · h-index 38

Dalong Ma

167 papers receiving 4.7k citations

Peers

Dalong Ma
Comparison fields: 5 of 144
  • Oncology 1.3k
  • Immunology 933
  • Cancer Research 638
  • Molecular Biology 2.6k
  • Immunology and Allergy 184
Replace Giovanni Gaudino with:
Giovanni Gaudino Italy
Barry S. Komm United States
Hideaki Oda Japan
Ruey‐Hwa Chen Taiwan
Xun Qu China
Deborah V. Novack United States
Daniele Tibullo Italy
Marı́a José Blanco Spain
Sérgio Ferrari Italy
Satoru Takahashi Japan
Dalong Ma relative to Giovanni Gaudino Italy Giovanni Gaudino's profile →
Citations per field
00.5×1.5×
Giovanni Gaudino · 1×
Citations per year

Countries citing papers authored by Dalong Ma

Since Specialization
Citations

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

Fields of papers citing papers by Dalong Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20240
3 202410
4 20232
5 201518
6 201419
7 201329
8
Application of SRAP in the genetic diversity of Tricholoma matsutake in northeastern China
201015
9 201023
10 200957
11 200845
12 200822
13 200773
14 200511
15 200561
16
[In silico data mining of the human programmed cell death 5 (PDCD5) sequences].
20031
17 200316
18
Association study between interleukin-1beta gene (IL-1beta) and schizophrenia
20035
19
The apoptosis-accelerating effect of human recombinant TFAR19 protein on leukemia HL-60 cells
20009
20 199942

About Dalong Ma

Dalong Ma is a scholar working on Immunology, Immunology and Allergy, Oncology, Molecular Biology and Atmospheric Science, having authored 169 papers that have together received 4.7k indexed citations. Recurring topics across this work include Chemokine receptors and signaling (28 papers), Immunotherapy and Immune Responses (19 papers), Climate change and permafrost (17 papers), T-cell and B-cell Immunology (16 papers), Cell death mechanisms and regulation (16 papers), interferon and immune responses (13 papers), Ubiquitin and proteasome pathways (13 papers) and Autophagy in Disease and Therapy (13 papers). The work is most often cited by research in Oncology (1.3k citations), Immunology (933 citations), Cancer Research (638 citations), Molecular Biology (2.6k citations) and Immunology and Allergy (184 citations). Dalong Ma has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yingmei Zhang, Wenling Han, Yingyu Chen, Quansheng Song, Taiping Shi, Peiguo Ding, Ronghua Sun, Ying Wang, Pingzhang Wang and Rui Min. Their work appears in journals such as Biochemical and Biophysical Research Communications, Life Sciences, The International Journal of Biochemistry & Cell Biology, Autophagy and Scientific Reports.

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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