Scott Markel

686 total citations
10 papers, 125 citations indexed

About

Scott Markel is a scholar working on Molecular Biology, Artificial Intelligence and General Health Professions. According to data from OpenAlex, Scott Markel has authored 10 papers receiving a total of 125 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Artificial Intelligence and 1 paper in General Health Professions. Recurrent topics in Scott Markel's work include Genetics, Bioinformatics, and Biomedical Research (3 papers), Biomedical Text Mining and Ontologies (2 papers) and Genomics and Rare Diseases (1 paper). Scott Markel is often cited by papers focused on Genetics, Bioinformatics, and Biomedical Research (3 papers), Biomedical Text Mining and Ontologies (2 papers) and Genomics and Rare Diseases (1 paper). Scott Markel collaborates with scholars based in United States, Switzerland and United Kingdom. Scott Markel's co-authors include A. John Mallinckrodt, P. Keller, Susan McKay, H N Christensen, M. M. Sidky, David H. Thompson, Charles Fefferman, Ian Harrow, Ernesto Jiménez-Ruiz and Yasmin Alam-Faruque and has published in prestigious journals such as Bioinformatics, PLoS Computational Biology and Experimental Biology and Medicine.

In The Last Decade

Scott Markel

9 papers receiving 111 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Scott Markel United States	5	47	41	34	14	12	10	125
Heorhiy Byelas Netherlands	6	72 1.5×	19 0.5×	35 1.0×	20 1.4×	50 4.2×	21	122
Michael Himsolt Germany	4	45 1.0×	23 0.6×	15 0.4×	11 0.8×	14 1.2×	5	86
Michel Crampes France	5	37 0.8×	14 0.3×	47 1.4×	12 0.9×	24 2.0×	16	97
Gus Hahn-Powell United States	7	16 0.3×	61 1.5×	121 3.6×	3 0.2×	26 2.2×	18	212
Mark-A. Krogel Germany	3	14 0.3×	42 1.0×	66 1.9×	10 0.7×	23 1.9×	5	108
Liang Hou China	5	35 0.7×	20 0.5×	68 2.0×	8 0.6×	13 1.1×	13	119
Ofer Meshi United States	8	29 0.6×	36 0.9×	107 3.1×	10 0.7×	4 0.3×	16	163
Sobha Lalitha Devi India	9	35 0.7×	18 0.4×	200 5.9×	19 1.4×	18 1.5×	51	229
Aditeya Pandey United States	6	46 1.0×	8 0.2×	18 0.5×	11 0.8×	6 0.5×	13	79
Peter Bloem Netherlands	6	10 0.2×	20 0.5×	47 1.4×	8 0.6×	12 1.0×	9	86

Countries citing papers authored by Scott Markel

Since Specialization

Citations

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

Fields of papers citing papers by Scott Markel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Scott Markel

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Harrow, Ian, Ernesto Jiménez-Ruiz, Andrea Splendiani, et al.. (2017). Matching disease and phenotype ontologies in the ontology alignment evaluation initiative. Journal of Biomedical Semantics. 8(1). 55–55. 20 indexed citations

2.

Berger, Bonnie, Terry Gaasterland, Thomas Lengauer, et al.. (2016). ISCB’s Initial Reaction to The New England Journal of Medicine Editorial on Data Sharing. PLoS Computational Biology. 12(3). e1004816–e1004816. 4 indexed citations

3.

Rost, Burkhard, Terry Gaasterland, Thomas Lengauer, et al.. (2012). Paving the future: finding suitable ISMB venues. Bioinformatics. 28(19). 2556–2559. 2 indexed citations

4.

Markel, Scott. (2009). BioLINK Special Interest Group Session on the Future of Scientific Publishing. PLoS Computational Biology. 5(5). e1000398–e1000398. 1 indexed citations

5.

Markel, Scott, et al.. (2006). In Silico Technologies in Drug Target Identification and Validation. 10 indexed citations

6.

Markel, Scott, et al.. (2003). Sequence Analysis in a Nutshell: A Guide to Tools and Databases. 302–302. 2 indexed citations

7.

Markel, Scott, et al.. (2003). Sequence Analysis in a Nutshell: A Guide to Common Tools and Databases. Medical Entomology and Zoology. 2 indexed citations

8.

Keller, P., et al.. (1994). Visual Cues: Practical Data Visualization. Computers in Physics. 8(3). 297–298. 69 indexed citations

9.

Fefferman, Charles & Scott Markel. (1993). Recovering a Feed-Forward Net From Its Output. Neural Information Processing Systems. 6. 335–342. 3 indexed citations

10.

Christensen, H N, David H. Thompson, Scott Markel, & M. M. Sidky. (1958). Decreasing "Amino Acid Hunger" of Human Muscle with Age.. Experimental Biology and Medicine. 99(3). 780–782. 12 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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