Kenneth Langlands

1.3k citations
39 papers · 984 · h-index 16

Impact in

  • Hematology top 5%
    • Acute Myeloid Leukemia Research
    • Hematopoietic Stem Cell Transplantation
    • Chronic Myeloid Leukemia Treatments
    • Acne and Rosacea Treatments and Effects

Papers in

Kenneth Langlands

37 papers receiving 960 citations

Peers

Kenneth Langlands
Comparison fields: 5 of 96
  • Hematology 254
  • Dermatology 84
  • Public Health, Environmental and Occupational Health 236
  • Genetics 70
  • Molecular Biology 401
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Citations per year

Countries citing papers authored by Kenneth Langlands

Since Specialization
Citations

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

Fields of papers citing papers by Kenneth Langlands

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997191
2
Id proteins are dynamically expressed in normal epidermis and dysregulated in squamous cell carcinoma.
200095
3 199487
4 199878
5 201366
6 201358
7 201356
8 199656
9 199455
10 201234
11
Molecular detection of tumor contamination in peripheral blood stem cell harvests.
199425
12 200622
13
An HIV positive haemophiliac with acute lymphoblastic leukaemia successfully treated with intensive chemotherapy and syngeneic bone marrow transplantation.
199217
14 199716
15
Clonal selection in acute lymphoblastic leukaemia demonstrated by polymerase chain reaction analysis of immunoglobulin heavy chain and T-cell receptor delta chain rearrangements.
199316
16
Molecular determination of minimal residual disease in peripheral blood stem cell harvests.
199015
17 200214
18 20179
19 19929
20 20187

About Kenneth Langlands

Kenneth Langlands is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Hematology, Genetics and Physiology, having authored 39 papers that have together received 984 indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (10 papers), Acute Myeloid Leukemia Research (5 papers), Bioinformatics and Genomic Networks (5 papers), Hematopoietic Stem Cell Transplantation (4 papers), Chronic Myeloid Leukemia Treatments (4 papers), Gene expression and cancer classification (4 papers), Chronic Lymphocytic Leukemia Research (4 papers) and Machine Learning in Bioinformatics (3 papers). The work is most often cited by research in Hematology (254 citations), Dermatology (84 citations), Public Health, Environmental and Occupational Health (236 citations), Genetics (70 citations) and Molecular Biology (401 citations). Kenneth Langlands has collaborated with scholars based in United Kingdom, United States and South Sudan. Frequent co-authors include Terence Kealey, Edward V. Prochownik, Geetha Anand, Xiaoying Yin, Colin G. Steward, Michael A. Cawthorne, A Oakhill, Sabah Jassim, Michael Potter and F Katz. Their work appears in journals such as Blood, British Journal of Haematology, BMC Bioinformatics, Molecular Pathology and British Journal of Dermatology.

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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