Michael Kimelman

3.5k total citations · 1 hit paper
5 papers, 427 citations indexed

About

Michael Kimelman is a scholar working on Molecular Biology, Surgery and Genetics. According to data from OpenAlex, Michael Kimelman has authored 5 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 1 paper in Surgery and 1 paper in Genetics. Recurrent topics in Michael Kimelman's work include Genomics and Phylogenetic Studies (3 papers), Genetic diversity and population structure (1 paper) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper). Michael Kimelman is often cited by papers focused on Genomics and Phylogenetic Studies (3 papers), Genetic diversity and population structure (1 paper) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper). Michael Kimelman collaborates with scholars based in United States. Michael Kimelman's co-authors include J. Rodney Brister, Christopher D. O’Sullivan, Richard T. Lapoint, Kenneth Katz, Zhigang Chen, Alan T. Remaley, Roger Kurlander, Irina N. Baranova, Tatyana G. Vishnyakova and Alexander V. Bocharov and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Genome biology.

In The Last Decade

Michael Kimelman

5 papers receiving 417 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.

The Sequence Read Archive: a decade more of explosive growth

2021 191 citations Kenneth Katz, Richard T. Lapoint et al. Nucleic Acids Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael Kimelman United States	4	266	64	54	52	43	5	427
Yingyuan Sun United States	10	232 0.9×	78 1.2×	41 0.8×	66 1.3×	27 0.6×	13	431
Ben Busby United States	10	210 0.8×	46 0.7×	40 0.7×	87 1.7×	24 0.6×	14	463
Anna Yakovleva United States	7	339 1.3×	26 0.4×	36 0.7×	61 1.2×	28 0.7×	18	552
Laurentijn Tilleman Belgium	14	291 1.1×	23 0.4×	53 1.0×	32 0.6×	64 1.5×	32	541
Petro Starokadomskyy United States	11	246 0.9×	22 0.3×	34 0.6×	33 0.6×	68 1.6×	23	434
Jonás Chnaiderman Chile	13	305 1.1×	33 0.5×	71 1.3×	29 0.6×	38 0.9×	20	516
Stephen E. Hamby United Kingdom	9	228 0.9×	24 0.4×	41 0.8×	31 0.6×	60 1.4×	14	522
Lisa Huang United States	15	421 1.6×	47 0.7×	26 0.5×	128 2.5×	46 1.1×	31	575
Frauke Beilstein France	14	192 0.7×	61 1.0×	211 3.9×	51 1.0×	87 2.0×	16	591

Countries citing papers authored by Michael Kimelman

Since Specialization

Citations

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

Fields of papers citing papers by Michael Kimelman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Kimelman

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

All Works

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5 of 5 papers shown

1.

Katz, Kenneth, et al.. (2021). STAT: a fast, scalable, MinHash-based k-mer tool to assess Sequence Read Archive next-generation sequence submissions. Genome biology. 22(1). 270–270. 46 indexed citations

2.

Katz, Kenneth, et al.. (2021). The Sequence Read Archive: a decade more of explosive growth. Nucleic Acids Research. 50(D1). D387–D390. 191 indexed citations breakdown →

3.

Katz, Kenneth, et al.. (2021). STAT: A fast, scalable, MinHash-based k-mer tool to assess Sequence Read Archive next generation sequence submissions.. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations

4.

Brister, J. Rodney, Yīmíng Bào, Vyacheslav Chetvernin, et al.. (2013). Virus Variation Resource—recent updates and future directions. Nucleic Acids Research. 42(D1). D660–D665. 37 indexed citations

5.

Baranova, Irina N., Tatyana G. Vishnyakova, Alexander V. Bocharov, et al.. (2004). Serum Amyloid A Binding to CLA-1 (CD36 and LIMPII Analogous-1) Mediates Serum Amyloid A Protein-induced Activation of ERK1/2 and p38 Mitogen-activated Protein Kinases. Journal of Biological Chemistry. 280(9). 8031–8040. 152 indexed citations

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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