Xi Feng

2.5k citations
27 papers · 1.8k indexed · 1 hit paper · h-index 16

Xi Feng

26 papers receiving 1.8k citations

Hit Papers

Cellular and Molecular Identity of Tumor-Associated Macro...4882017202620202023100200300400

Peers

Xi Feng
Comparison fields: 5 of 95
  • Neurology 628
  • Genetics 571
  • Developmental Neuroscience 166
  • Immunology 842
  • Biological Psychiatry 42
Replace Dieter Henrik Heiland with:
Dieter Henrik Heiland Germany
Andreas H. Jacobs Germany
John S. Beech United Kingdom
Isobel A. Scarisbrick United States
Bartosz Wojtaś Poland
Colin Niaudet United States
Camelia‐Maria Monoranu Germany
Dena S. Leeman United States
Lionel M.L. Chow United States
Denis Marino Switzerland
Xi Feng relative to Dieter Henrik Heiland Germany Dieter Henrik Heiland's profile →
Citations per field
00.5×9.7×
Dieter Henrik Heiland · 1×
Citations per year

Countries citing papers authored by Xi Feng

Since Specialization
Citations

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

Fields of papers citing papers by Xi Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 2022124
3 202132
4 202154
5 202115
6 202012
7 201834
8 201870
9 20177
10
Cellular and Molecular Identity of Tumor-Associated Macrophages in Glioblastomabreakdown →
2017488
11 20174
12 201670
13 2015317
14 201415
15 201341
16 20129
17 201115
18 201187
19 200924
20 200634

About Xi Feng

Xi Feng is a scholar working on Neurology, Developmental Neuroscience and Genetics, having authored 27 papers that have together received 1.8k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (15 papers), Immune cells in cancer (8 papers), Glioma Diagnosis and Treatment (6 papers), Traumatic Brain Injury and Neurovascular Disturbances (4 papers), Neurogenesis and neuroplasticity mechanisms (4 papers), Brain Metastases and Treatment (3 papers), Zebrafish Biomedical Research Applications (3 papers) and Neonatal and fetal brain pathology (2 papers). The work is most often cited by research in Neurology (628 citations), Genetics (571 citations) and Developmental Neuroscience (166 citations). Xi Feng has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Dolores Hambardzumyan, Susanne A. Wolf, Susanna Rosi, Zhihong Chen, Rikke Rasmussen, Virginia Álvarez-García, David H. Gutmann, Winnie W. Pong, Bhakti Dwivedi and Cameron J. Herting. Their work appears in journals such as Scientific Reports, Journal of Neuroinflammation, Journal of Biological Chemistry, PLoS ONE and Journal of Biomedical Materials Research Part A.

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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