Fengshuo Lan

1.4k citations
14 papers · 1.1k indexed · h-index 12

Impact in

  • Immunology top 5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
  • Hematology top 2%
    • Hematopoietic Stem Cell Transplantation

Papers in

    • Hematopoietic Stem Cell Transplantation 6
    • Acute Myeloid Leukemia Research 1
    • T-cell and B-cell Immunology 7
    • Immune Cell Function and Interaction 7
    • Immunotherapy and Immune Responses 3

Fengshuo Lan

14 papers receiving 1.1k citations

Peers

Fengshuo Lan
Comparison fields: 5 of 46
  • Immunology 866
  • Hematology 441
  • Transplantation 78
  • Oncology 518
  • Genetics 161
Replace James M. Coghill with:
James M. Coghill United States
Vanessa Rowe Australia
Lucie Leveque Australia
Denise A. Pearson United States
Noemi F. Pereira Brazil
Wendy Ingram United Kingdom
Romy E. Hoeppli Canada
Katherine G. MacDonald Canada
Matthias Zeis Germany
Carlheinz Müller Germany
Fengshuo Lan relative to James M. Coghill United States James M. Coghill's profile →
Citations per field
00.5×4.3×
James M. Coghill · 1×
Citations per year

Countries citing papers authored by Fengshuo Lan

Since Specialization
Citations

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

Fields of papers citing papers by Fengshuo Lan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

14 of 14 papers shown
#Work
1 2017158
2 201786
3 201699
4 20162
5 201589
6 201510
7 200422
8 2003107
9 200279
10 2001132
11 200122
12 200033
13 199934
14 1999251

About Fengshuo Lan

Fengshuo Lan is a scholar working on Hematology, Immunology, Transplantation, Oncology and Genetics, having authored 14 papers that have together received 1.1k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (7 papers), Immune Cell Function and Interaction (7 papers), Hematopoietic Stem Cell Transplantation (6 papers), CAR-T cell therapy research (4 papers), Immunotherapy and Immune Responses (3 papers), Transplantation: Methods and Outcomes (2 papers), Silicon Carbide Semiconductor Technologies (2 papers) and Acute Myeloid Leukemia Research (1 paper). The work is most often cited by research in Immunology (866 citations), Hematology (441 citations), Transplantation (78 citations), Oncology (518 citations) and Genetics (161 citations). Fengshuo Lan has collaborated with scholars based in United States, Macao and Japan. Frequent co-authors include Samuel Strober, Defu Zeng, Julian P. T. Higgins, Philip Huie, Masanori Higuchi, Marcos E. García‐Ojeda, David B. Lewis, Sussan Dejbakhsh‐Jones, Richard Sibley and Yupo Ma. Their work appears in journals such as Transplantation, Blood, Oncotarget, Leukemia and The Journal of Immunology.

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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