Michael Stocum

1.1k total citations · 1 hit paper
7 papers, 769 citations indexed

About

Michael Stocum is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Michael Stocum has authored 7 papers receiving a total of 769 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Oncology and 2 papers in Immunology. Recurrent topics in Michael Stocum's work include Biosimilars and Bioanalytical Methods (2 papers), Cancer Genomics and Diagnostics (2 papers) and Cancer Cells and Metastasis (1 paper). Michael Stocum is often cited by papers focused on Biosimilars and Bioanalytical Methods (2 papers), Cancer Genomics and Diagnostics (2 papers) and Cancer Cells and Metastasis (1 paper). Michael Stocum collaborates with scholars based in United States, Japan and Germany. Michael Stocum's co-authors include Arlene R. Hughes, Linda M. Thurmond, Katherine L. Baker-Neblett, Allen D. Roses, William Spreen, Denise Shortino, Michael Mosteller, Eric Lai, David J. Dow and Mary E. Fling and has published in prestigious journals such as The Lancet, Molecular Cancer Therapeutics and Journal of Molecular Diagnostics.

In The Last Decade

Michael Stocum

6 papers receiving 740 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Genetic variations in HLA-B region and hypersensitivity reactions to abacavir

2002 583 citations Seth Hetherington, Arlene R. Hughes et al. The Lancet profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Michael Stocum United States	5	324	129	128	126	123	7	769
A. Castley Australia	5	531 1.6×	66 0.5×	195 1.5×	238 1.9×	8 0.1×	8	1.1k
Christiansen Ft Australia	4	529 1.6×	57 0.4×	188 1.5×	242 1.9×	8 0.1×	6	1.1k
Daniel Yerly Switzerland	24	882 2.7×	87 0.7×	256 2.0×	447 3.5×	5 0.0×	39	1.6k
Abbe Rubin United States	10	122 0.4×	70 0.5×	23 0.2×	160 1.3×	7 0.1×	13	563
S. Nishiguchi Japan	18	40 0.1×	185 1.4×	73 0.6×	58 0.5×	14 0.1×	35	1.9k
Yeh Ching Linn Singapore	21	63 0.2×	676 5.2×	57 0.4×	801 6.4×	27 0.2×	92	1.5k
Michael Liu United States	12	26 0.1×	189 1.5×	45 0.4×	462 3.7×	28 0.2×	20	989
Kathryn P. Clausen United States	16	184 0.6×	396 3.1×	160 1.3×	172 1.4×	23 0.2×	26	1.1k
Yi‐Cheng Chen Taiwan	24	26 0.1×	140 1.1×	71 0.6×	172 1.4×	15 0.1×	100	2.8k
Naohito Fujishima Japan	19	28 0.1×	326 2.5×	108 0.8×	393 3.1×	8 0.1×	63	1.4k

Countries citing papers authored by Michael Stocum

Since Specialization

Citations

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

Fields of papers citing papers by Michael Stocum

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Stocum

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

All Works

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7 of 7 papers shown

1.

Schwarzer, Adrian, Matheus Oliveira, Mark Hannink, et al.. (2023). Targeting Aggressive B-cell Lymphomas through Pharmacological Activation of the Mitochondrial Protease OMA1. Molecular Cancer Therapeutics. 22(11). 1290–1303. 6 indexed citations

2.

Harris, Jennifer L., et al.. (2013). Quest for the Ideal Cancer Biomarker: An Update on Progress in Capture and Characterization of Circulating Tumor Cells. Drug Development Research. 74(2). 138–147. 4 indexed citations

3.

Stocum, Michael, et al.. (2012). Best practices for companion diagnostic and therapeutic development: translating between the stakeholders. New Biotechnology. 29(6). 689–694. 12 indexed citations

4.

Smith, Brad, et al.. (2012). Building Value Through Biomarkers: The “Smarter Development” Imperative. Drug Information Journal. 46(4). 397–403. 1 indexed citations

5.

Dong, Yi, Alison M. Skelley, Keith D. Merdek, et al.. (2012). Microfluidics and Circulating Tumor Cells. Journal of Molecular Diagnostics. 15(2). 149–157. 162 indexed citations

6.

Beuningen, Rinie van, Rob Ruijtenbeek, Piet J. Boender, René Houtman, & Michael Stocum. (2006). Use of flow-through peptide-microarrays for cell-lysate profiling. 66. 1088–1089. 1 indexed citations

7.

Hetherington, Seth, Arlene R. Hughes, Michael Mosteller, et al.. (2002). Genetic variations in HLA-B region and hypersensitivity reactions to abacavir. The Lancet. 359(9312). 1121–1122. 583 indexed citations breakdown →

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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