Matthew D. Pearson

3.5k total citations
9 papers, 358 citations indexed

About

Matthew D. Pearson is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Matthew D. Pearson has authored 9 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Pulmonary and Respiratory Medicine and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Matthew D. Pearson's work include Cardiac Valve Diseases and Treatments (2 papers), Pulmonary Hypertension Research and Treatments (2 papers) and Fungal and yeast genetics research (2 papers). Matthew D. Pearson is often cited by papers focused on Cardiac Valve Diseases and Treatments (2 papers), Pulmonary Hypertension Research and Treatments (2 papers) and Fungal and yeast genetics research (2 papers). Matthew D. Pearson collaborates with scholars based in United States. Matthew D. Pearson's co-authors include James E. Galagan, Abigail L. Manson, Daniel E. Neafsey, Brian J. Haas, Qiandong Zeng, Jennifer R. Wortman, Christina A. Cuomo, Richard Sutton, L McDonald and Philip Montgomery and has published in prestigious journals such as Genome Research, Genome biology and Heart.

In The Last Decade

Matthew D. Pearson

8 papers receiving 340 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Matthew D. Pearson United States	6	186	80	69	46	39	9	358
Christian T. Madsen Denmark	12	306 1.6×	149 1.9×	26 0.4×	37 0.8×	18 0.5×	14	480
Huy Quang Pham South Korea	10	139 0.7×	57 0.7×	21 0.3×	15 0.3×	10 0.3×	17	247
Gerco van Eikenhorst Netherlands	10	248 1.3×	26 0.3×	28 0.4×	23 0.5×	24 0.6×	12	373
Minglong Zhou United States	11	154 0.8×	20 0.3×	40 0.6×	52 1.1×	55 1.4×	15	339
Bastian Joehnk United States	4	202 1.1×	54 0.7×	22 0.3×	35 0.8×	7 0.2×	4	366
Thomas R. Foubert United States	9	184 1.0×	16 0.2×	49 0.7×	22 0.5×	7 0.2×	10	498
Veronica Reghellin Italy	8	220 1.2×	43 0.5×	16 0.2×	53 1.2×	11 0.3×	9	329
Jieqiong Zhao China	11	161 0.9×	21 0.3×	32 0.5×	16 0.3×	52 1.3×	25	306
Robert A. Altman United States	6	300 1.6×	104 1.3×	13 0.2×	12 0.3×	101 2.6×	10	491
Roni M. Lahr United States	14	439 2.4×	33 0.4×	31 0.4×	19 0.4×	7 0.2×	14	614

Countries citing papers authored by Matthew D. Pearson

Since Specialization

Citations

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

Fields of papers citing papers by Matthew D. Pearson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew D. Pearson

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew D. Pearson. A scholar is included among the top collaborators of Matthew D. Pearson 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 Matthew D. Pearson. Matthew D. Pearson 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:

9 of 9 papers shown

1.

Pearson, Matthew D. & Eesha Khare. (2022). Addressing the single-use plastic proliferation problem. 3. 1 indexed citations

2.

Haas, Brian J., Qiandong Zeng, Matthew D. Pearson, Christina A. Cuomo, & Jennifer R. Wortman. (2011). Approaches to Fungal Genome Annotation. Mycology: An International Journal on Fungal Biology. 2(3). 118–141. 95 indexed citations

3.

Manson, Abigail L., Matthew D. Pearson, Daniel E. Neafsey, & James E. Galagan. (2008). Cross-kingdom patterns of alternative splicing and splice recognition. Genome biology. 9(3). R50–R50. 118 indexed citations

4.

DeCaprio, David, et al.. (2007). Conrad: Gene prediction using conditional random fields. Genome Research. 17(9). 1389–1398. 47 indexed citations

5.

Raynor, Mathew, Culley C. Carson, Matthew D. Pearson, & Jeffrey W. Nix. (2007). Androgen deficiency in the aging male: a guide to diagnosis and testosterone replacement therapy.. PubMed. 14 Suppl 1. 63–8. 5 indexed citations

6.

Pearson, Matthew D., et al.. (2005). Clinical predictors and characteristics of patients with chronic liver disease and intrapulmonary shunts. Clinical Cardiology. 28(9). 437–441. 13 indexed citations

7.

Pearson, Matthew D.. (1999). Fast Out-of-Core Sorting on Parallel Disk Systems. 9 indexed citations

8.

Sutton, Richard, et al.. (1977). Mitral regurgitation in coronary heart disease.. Heart. 39(1). 13–18. 69 indexed citations

9.

Pearson, Matthew D., et al.. (1972). Apical systolic murmurs related to mitral regurgitation at angiography in ischemic heart disease.. PubMed. 34(9). 965–965. 1 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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