Shawn M. Jobe

2.2k total citations
38 papers, 1.4k citations indexed

About

Shawn M. Jobe is a scholar working on Hematology, Molecular Biology and Genetics. According to data from OpenAlex, Shawn M. Jobe has authored 38 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Hematology, 11 papers in Molecular Biology and 6 papers in Genetics. Recurrent topics in Shawn M. Jobe's work include Platelet Disorders and Treatments (20 papers), Blood Coagulation and Thrombosis Mechanisms (12 papers) and Hemophilia Treatment and Research (7 papers). Shawn M. Jobe is often cited by papers focused on Platelet Disorders and Treatments (20 papers), Blood Coagulation and Thrombosis Mechanisms (12 papers) and Hemophilia Treatment and Research (7 papers). Shawn M. Jobe collaborates with scholars based in United States, United Kingdom and Germany. Shawn M. Jobe's co-authors include Bruce E. Markham, Jeffery D. Molkentin, Seigo Izumo, Hyo‐Jung Choo, Russell J. Wiese, Hideko Kasahara, Tetsuo Shioi, Youngsook Lee, Steven R. Lentz and Jorge Di Paola and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.

In The Last Decade

Shawn M. Jobe

35 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shawn M. Jobe United States 17 777 432 402 170 150 38 1.4k
Kesheng Dai China 21 364 0.5× 443 1.0× 151 0.4× 145 0.9× 132 0.9× 65 1.1k
K. Vinod Vijayan United States 21 312 0.4× 472 1.1× 201 0.5× 173 1.0× 158 1.1× 43 1.2k
Antonija Jurak Begonja Croatia 16 305 0.4× 649 1.5× 222 0.6× 231 1.4× 180 1.2× 38 1.2k
Gijsbert van Willigen Netherlands 22 408 0.5× 526 1.2× 262 0.7× 117 0.7× 116 0.8× 43 1.2k
Josefin Ahnström United Kingdom 22 804 1.0× 494 1.1× 161 0.4× 211 1.2× 77 0.5× 53 1.8k
Alexandra Mazharian United Kingdom 21 433 0.6× 717 1.7× 202 0.5× 282 1.7× 120 0.8× 33 1.3k
Nadine J.A. Mattheij Netherlands 19 293 0.4× 795 1.8× 329 0.8× 175 1.0× 238 1.6× 21 1.3k
Laurent Burnier Switzerland 17 475 0.6× 521 1.2× 163 0.4× 394 2.3× 87 0.6× 28 1.3k
Eugene G. Levin United States 18 542 0.7× 385 0.9× 164 0.4× 135 0.8× 211 1.4× 27 1.5k
Gemma Arderiu Spain 20 670 0.9× 121 0.3× 217 0.5× 196 1.2× 84 0.6× 45 1.2k

Countries citing papers authored by Shawn M. Jobe

Since Specialization
Citations

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

Fields of papers citing papers by Shawn M. Jobe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shawn M. Jobe. 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 Shawn M. Jobe. The network helps show where Shawn M. Jobe may publish in the future.

Co-authorship network of co-authors of Shawn M. Jobe

This figure shows the co-authorship network connecting the top 25 collaborators of Shawn M. Jobe. A scholar is included among the top collaborators of Shawn M. Jobe 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 Shawn M. Jobe. Shawn M. Jobe 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
1.
Mahlangu, Johnny, Maria Elisa Mancuso, Kathelijn Fischer, et al.. (2025). Extension Study With rVIII‐SingleChain in Previously Untreated Patients (PUPs) With Severe Haemophilia A. Haemophilia. 31(2). 214–223.
3.
Jobe, Shawn M., et al.. (2023). A novel leukocyte adhesion deficiency type III mutation manifests functional importance of the compact FERM domain in kindlin-3. Journal of Thrombosis and Haemostasis. 22(2). 558–564. 2 indexed citations
4.
Schenk, Michael P., Chengjing Zhou, Patrice N. Mimche, et al.. (2019). Platelet α-granules contribute to organ-specific pathologies in a mouse model of severe malaria. Blood Advances. 4(1). 1–8. 10 indexed citations
5.
Kholmukhamedov, Andaleb, et al.. (2018). The mitochondrial calcium uniporter regulates procoagulant platelet formation. Journal of Thrombosis and Haemostasis. 16(11). 2315–2321. 33 indexed citations
6.
Sakurai, Yumiko, Elaissa T. Hardy, Byungwook Ahn, et al.. (2018). A microengineered vascularized bleeding model that integrates the principal components of hemostasis. Nature Communications. 9(1). 509–509. 77 indexed citations
7.
Kholmukhamedov, Andaleb, et al.. (2018). Delayed Wound Healing in Mice with Impaired Procoagulant Platelet Formation. Blood. 132(Supplement 1). 1127–1127. 3 indexed citations
8.
Sharma, Ruchika, Juliana Perez Botero, & Shawn M. Jobe. (2018). Congenital Disorders of Platelet Function and Number. Pediatric Clinics of North America. 65(3). 561–578. 4 indexed citations
9.
Sharma, Ruchika, Amy L. Dunn, Shawn M. Jobe, Traci Leong, & Shannon L. Meeks. (2017). Thrombin Generation in Patients with Severe Hemophilia A May Be Variable but Predictive of Response to Treatment. Blood. 130. 3687–3687. 1 indexed citations
10.
Kholmukhamedov, Andaleb, et al.. (2017). Platelet Cyclophilin D-Dependent Events Limit Venous Thrombotic Occlusion and Platelet Accretion. Blood. 130. 454. 3 indexed citations
11.
Kholmukhamedov, Andaleb, et al.. (2017). Cytoplasmic Phospholipase A2 Is Essential in GPVI Signaling Initiated Procoagulant Platelet Formation. Blood. 130. 1068–1068. 1 indexed citations
12.
Kholmukhamedov, Andaleb, et al.. (2016). Calcium Independent Events Trigger VWF-Dependent Shear-Induced Procoagulant Platelet Formation. Blood. 128(22). 1354–1354. 2 indexed citations
13.
Ragni, Margaret V., Lynn Malec, Donald Brambilla, et al.. (2015). Von Willebrand Factor for Menorrhagia: A Survey and Literature Review. Blood. 126(23). 4694–4694.
14.
Liu, Fang, et al.. (2013). Mitochondrially Mediated Integrin αIIbβ3 Protein Inactivation Limits Thrombus Growth. Journal of Biological Chemistry. 288(42). 30672–30681. 28 indexed citations
15.
Mattheij, Nadine J.A., Karen Gilio, Roger van Kruchten, et al.. (2013). Dual Mechanism of Integrin αIIbβ3 Closure in Procoagulant Platelets. Journal of Biological Chemistry. 288(19). 13325–13336. 89 indexed citations
16.
Mattheij, Nadine J.A., Karen Gilio, Roger van Kruchten, et al.. (2013). Dual Mechanism of Integrin IIb 3 Closure in Procoagulant Platelets. 7 indexed citations
17.
Choo, Hyo‐Jung, Talib Saafir, Laura Mkumba, Mary B. Wagner, & Shawn M. Jobe. (2012). Mitochondrial Calcium and Reactive Oxygen Species Regulate Agonist-Initiated Platelet Phosphatidylserine Exposure. Arteriosclerosis Thrombosis and Vascular Biology. 32(12). 2946–2955. 94 indexed citations
18.
Wang, Yingchun, Shawn M. Jobe, Xiaokun Ding, et al.. (2012). Platelet biogenesis and functions require correct protein O-glycosylation. Proceedings of the National Academy of Sciences. 109(40). 16143–16148. 72 indexed citations
19.
Sabnis, Himalee S., John Horan, Alison McDowall, et al.. (2010). Leukocyte adhesion deficiency‐III in an African‐American patient. Pediatric Blood & Cancer. 55(1). 180–182. 19 indexed citations
20.
Hasegawa, Koji, Soojin Lee, Shawn M. Jobe, Bruce E. Markham, & Richard N. Kitsis. (1997). cis -Acting Sequences That Mediate Induction of β-Myosin Heavy Chain Gene Expression During Left Ventricular Hypertrophy due to Aortic Constriction. Circulation. 96(11). 3943–3953. 146 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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