Zhiling Yan

3.2k citations
106 papers · 2.4k · 3 hit papers · h-index 24

Impact in

Papers in

    • Multiple Myeloma Research and Treatments 15
    • Hematopoietic Stem Cell Transplantation 14
    • Platelet Disorders and Treatments 7
    • Acute Myeloid Leukemia Research 6
    • CAR-T cell therapy research 27

Zhiling Yan

103 papers receiving 2.3k citations

Zhiling Yan's Hit Papers

A generalist vision–language foundation model for diverse biomedical tasks 2024 · 189 citations
1890+1Years since publication50100150

Peers

Zhiling Yan
Comparison fields: 5 of 118
  • Health Informatics 99
  • Oncology 875
  • Hematology 517
  • Genetics 91
  • Cancer Research 121
Replace Ke Zhao with:
Ke Zhao China
Cyrill Géraud Germany
Gregory Riedlinger United States
Jan Moritz Middeke Germany
Friederike Egberts Germany
Ritu Gupta India
Cleo‐Aron Weis Germany
Shaofeng Yan United States
Byung Seok Kim South Korea
Yasuhiro FUJISAWA Japan
Zhiling Yan relative to Ke Zhao China Ke Zhao's profile →
Citations per field
00.5×2×3.2×
Ke Zhao · 1×
Citations per year

Countries citing papers authored by Zhiling Yan

Since Specialization
Citations

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

Fields of papers citing papers by Zhiling Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 106 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019270
2
A generalist vision–language foundation model for diverse biomedical tasks
Hit paper breakdown →
2024189
3
MA-SAM: Modality-agnostic SAM adaptation for 3D medical image segmentation
Hit paper breakdown →
2024137
4 202188
5 201985
6
A Survey of AI-Generated Content (AIGC)
Hit paper breakdown →
202484
7 202280
8 202177
9 202377
10 202063
11 201461
12 202061
13 201660
14 201247
15 201345
16 202443
17 202042
18 201436
19 201632
20 202131

About Zhiling Yan

Zhiling Yan is a scholar working on Hematology, Oncology, Cancer Research, Epidemiology and Genetics, having authored 106 papers that have together received 2.4k indexed citations. Recurring topics across this work include CAR-T cell therapy research (27 papers), Cervical Cancer and HPV Research (15 papers), Multiple Myeloma Research and Treatments (15 papers), Hematopoietic Stem Cell Transplantation (14 papers), Platelet Disorders and Treatments (7 papers), Acute Myeloid Leukemia Research (6 papers), MicroRNA in disease regulation (6 papers) and Mesenchymal stem cell research (5 papers). The work is most often cited by research in Health Informatics (99 citations), Oncology (875 citations), Hematology (517 citations), Genetics (91 citations) and Cancer Research (121 citations). Zhiling Yan has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Kailin Xu, Zhenyu Li, Jiang Cao, Hai Cheng, Wei Sang, Lichao Sun, Yufeng Yao, Li Shi, Bin Pan and Lingyu Zeng. Their work appears in journals such as Frontiers in Immunology, Transplantation and Cellular Therapy, BMC Cancer, Leukemia Research and International Journal of Biological Macromolecules.

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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