Kenneth D. Gibbs

4.6k total citations · 2 hit papers
24 papers, 3.4k citations indexed

About

Kenneth D. Gibbs is a scholar working on Molecular Biology, Immunology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Kenneth D. Gibbs has authored 24 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 9 papers in Immunology and 8 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Kenneth D. Gibbs's work include Health and Medical Research Impacts (7 papers), Diversity and Career in Medicine (6 papers) and Career Development and Diversity (4 papers). Kenneth D. Gibbs is often cited by papers focused on Health and Medical Research Impacts (7 papers), Diversity and Career in Medicine (6 papers) and Career Development and Diversity (4 papers). Kenneth D. Gibbs collaborates with scholars based in United States, Finland and Netherlands. Kenneth D. Gibbs's co-authors include Ravindra Majeti, Irving L. Weissman, Mark P. Chao, Ash A. Alizadeh, Siddhartha Jaiswal, Nico van Rooijen, Wendy W. Pang, Kimberly A. Griffin, Garry P. Nolan and Erin F. Simonds and has published in prestigious journals such as Cell, Blood and Nature Biotechnology.

In The Last Decade

Kenneth D. Gibbs

24 papers receiving 3.3k citations

Hit Papers

CD47 Is an Adverse Prognostic Factor and Therapeutic Anti... 2009 2026 2014 2020 2009 2011 400 800 1.2k

Peers

Kenneth D. Gibbs
Comparison fields: 5 of 142
  • Immunology 1.5k
  • Molecular Biology 1.2k
  • Oncology 663
  • Hematology 614
  • Genetics 310
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Citations per field, relative to Kenneth D. Gibbs
Kenneth D. Gibbs · 1×
Citations per year, relative to Kenneth D. Gibbs
Kenneth D. Gibbs · 1×

Countries citing papers authored by Kenneth D. Gibbs

Since Specialization
Citations

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

Fields of papers citing papers by Kenneth D. Gibbs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kenneth D. Gibbs

This figure shows the co-authorship network connecting the top 25 collaborators of Kenneth D. Gibbs. A scholar is included among the top collaborators of Kenneth D. Gibbs 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 Kenneth D. Gibbs. Kenneth D. Gibbs is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 42
3 107
4 12
5 23
6 76
7 158
8 178
9 42
10 137
11
Extracting a cellular hierarchy from high-dimensional cytometry data with SPADE breakdown →
680
12 49
13
and progenitor compartments biochemical and functional heterogeneity in human hematopoietic stem Single-cell phospho-specific flow cytometric analysis demonstrates
1
14 1
15
CD47 Is an Adverse Prognostic Factor and Therapeutic Antibody Target on Human Acute Myeloid Leukemia Stem Cells breakdown →
1340
16 76
17 122
18 19
19 37
20 2

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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