Haili Lang

723 citations
37 papers · 383 · h-index 11

Impact in

    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology
    • CAR-T cell therapy research
    • Polyomavirus and related diseases

Papers in

    • Immune Cell Function and Interaction 11
    • Immunotherapy and Immune Responses 9
    • T-cell and B-cell Immunology 4
    • CAR-T cell therapy research 15

Haili Lang

35 papers receiving 379 citations

Peers

Haili Lang
Comparison fields: 5 of 54
  • Immunology 166
  • Oncology 161
  • Infectious Diseases 69
  • Genetics 85
  • Epidemiology 97
Replace Silvia Pirovano with:
Silvia Pirovano Italy
Ifigeneia Tzannou United States
Ifigenia Tzannou United States
Juan Manuel Torres Spain
Simone Kayser Germany
Olga López Spain
Rebecca Guyer United States
Alessia Scarselli Italy
Maarten J. van Tol Netherlands
Rong Xu United States
Haili Lang relative to Silvia Pirovano Italy Silvia Pirovano's profile →
Citations per field
00.5×7.6×
Silvia Pirovano · 1×
Citations per year

Countries citing papers authored by Haili Lang

Since Specialization
Citations

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

Fields of papers citing papers by Haili Lang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201950
2 202140
3 201734
4 202228
5 201627
6 200227
7 201927
8 201814
9 202213
10 200512
11 201012
12 202110
13 20178
14 20187
15 20207
16 20127
17 20227
18 20197
19 20217
20 20226

About Haili Lang

Haili Lang is a scholar working on Immunology, Oncology, Epidemiology, Infectious Diseases and Genetics, having authored 37 papers that have together received 383 indexed citations. Recurring topics across this work include CAR-T cell therapy research (15 papers), Immune Cell Function and Interaction (11 papers), Immunotherapy and Immune Responses (9 papers), Cytomegalovirus and herpesvirus research (8 papers), Virus-based gene therapy research (5 papers), T-cell and B-cell Immunology (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers) and Renal and related cancers (3 papers). The work is most often cited by research in Immunology (166 citations), Oncology (161 citations), Infectious Diseases (69 citations), Genetics (85 citations) and Epidemiology (97 citations). Haili Lang has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Catherine M. Bollard, Michael D. Keller, Carolina Colli Cruz, Patrick J. Hanley, Christopher A. Lazarski, John W. Chamberlain, Celine D’Souza, Youan Liu, Allison B. Powell and Fahmida Hoq. Their work appears in journals such as Cytotherapy, Frontiers in Immunology, Biology of Blood and Marrow Transplantation, Neuro-Oncology and Molecular Therapy — Methods & Clinical Development.

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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