Michelle M. Langhan

3.1k citations
10 papers · 1.9k indexed · 2 hit papers · h-index 8
Topics
CAR-T cell therapy research (8 papers)Cancer Immunotherapy and Biomarkers (8 papers)Immunotherapy and Immune Responses (5 papers)
Partner nations
United StatesMalaysia

In The Last Decade

Michelle M. Langhan

10 papers receiving 1.9k citations

Hit Papers

Immune recognition of somatic mutations leading to comple...201520262018202220182015100200300400500

Peers

Michelle M. Langhan
Comparison fields: 5 of 78
  • Oncology 1.6k
  • Immunology 1.3k
  • Molecular Biology 344
  • Genetics 291
  • Epidemiology 157
Replace Ninke Leffers with:
Ninke Leffers Netherlands
Jennifer L. Marté United States
Julius Strauss United States
Qunrui Ye United States
Deborah J. Burt United Kingdom
Gavin Bendle United Kingdom
Eric R. Lutz United States
Yoshinori Suminami Japan
Inmaculada Rodríguez Spain
Marit M. van Buuren Netherlands
Michelle M. Langhan relative to Ninke Leffers Netherlands Ninke Leffers's profile →
Citations per field
00.5×3.2×
Ninke Leffers · 1×
Citations per year

Countries citing papers authored by Michelle M. Langhan

Since Specialization
Citations

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

Fields of papers citing papers by Michelle M. Langhan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michelle M. Langhan. 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 Michelle M. Langhan. The network helps show where Michelle M. Langhan may publish in the future.

Co-authorship network of co-authors of Michelle M. Langhan

This figure shows the co-authorship network connecting the top 25 collaborators of Michelle M. Langhan. A scholar is included among the top collaborators of Michelle M. Langhan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michelle M. Langhan. Michelle M. Langhan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
#WorkIndexed citations
1 72
2 110
3 204
4
Immune recognition of somatic mutations leading to complete durable regression in metastatic breast cancerbreakdown →
544
5 7
6 45
7
Complete Regression of Metastatic Cervical Cancer After Treatment With Human Papillomavirus–Targeted Tumor-Infiltrating T Cellsbreakdown →
506
8 1
9 245
10 210

About Michelle M. Langhan

Michelle M. Langhan is a scholar working on Oncology, Immunology and Cancer Research, having authored 10 papers that have together received 1.9k indexed citations. Recurring topics across this work include CAR-T cell therapy research (8 papers), Cancer Immunotherapy and Biomarkers (8 papers) and Immunotherapy and Immune Responses (5 papers). The work is most often cited by research in Immunology (1.3k citations), Oncology (1.6k citations) and Genetics (291 citations). Michelle M. Langhan has collaborated with scholars based in United States and Malaysia. Frequent co-authors include Steven A. Rosenberg, John R. Wunderlich, Mark E. Dudley, Richard M. Sherry, Udai S. Kammula, Paul F. Robbins, Mei Li M. Kwong, James Chih‐Hsin Yang, Thomas E. Shelton and Christian S. Hinrichs. Their work appears in journals such as Nature Medicine, Journal of Clinical Oncology and Clinical Cancer Research.

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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