Tessa Peterkin

1.2k total citations
11 papers, 683 citations indexed

About

Tessa Peterkin is a scholar working on Molecular Biology, Cell Biology and Surgery. According to data from OpenAlex, Tessa Peterkin has authored 11 papers receiving a total of 683 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Cell Biology and 3 papers in Surgery. Recurrent topics in Tessa Peterkin's work include Congenital heart defects research (7 papers), Zebrafish Biomedical Research Applications (6 papers) and RNA modifications and cancer (2 papers). Tessa Peterkin is often cited by papers focused on Congenital heart defects research (7 papers), Zebrafish Biomedical Research Applications (6 papers) and RNA modifications and cancer (2 papers). Tessa Peterkin collaborates with scholars based in United Kingdom, United States and Australia. Tessa Peterkin's co-authors include Roger Patient, Abigail Gibson, Filipa C. Simões, Matthew Loose, Michela Noseda, Michael Schneider, Rui Monteiro, Philip Pinheiro, Jana Koth and Emmanouela Repapi and has published in prestigious journals such as Nature Communications, The EMBO Journal and Circulation Research.

In The Last Decade

Tessa Peterkin

11 papers receiving 676 citations

Peers

Tessa Peterkin

MB

CB

SURGE

GENET

IMMUN

Noëlle Paffett-Lugassy United States

Michele Marass Germany

Jawahir Y. Mohamed Saudi Arabia

Tomohisa Sekimoto Japan

Cristina Villa del Campo Spain

Dmitry Penkov Russia

Kevin L. Tompkins United States

Weihua Zeng United States

Syed Hassan Ejaz Zaidi Canada

Dinakar Iyer United States

Noëlle Paffett-Lugassy United States

Tessa Peterkin

419 ×0.7

MB

251 ×1.3

CB

30 ×0.3

SURGE

51 ×0.6

GENET

114 ×1.4

IMMUN

Citations per year, relative to Tessa Peterkin Tessa Peterkin (= 1×) peers Noëlle Paffett-Lugassy

Countries citing papers authored by Tessa Peterkin

Since Specialization

Citations

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

Fields of papers citing papers by Tessa Peterkin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tessa Peterkin

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

All Works

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11 of 11 papers shown

1.

Rispoli, Rossella, Philip Pinheiro, Mónika Krecsmarik, et al.. (2019). Blood stem cell-forming haemogenic endothelium in zebrafish derives from arterial endothelium. Nature Communications. 10(1). 3577–3577. 39 indexed citations

2.

Monteiro, Rui, Philip Pinheiro, Tessa Peterkin, et al.. (2016). Transforming Growth Factor β Drives Hemogenic Endothelium Programming and the Transition to Hematopoietic Stem Cells. Developmental Cell. 38(4). 358–370. 72 indexed citations

3.

Short, Stephen, Tessa Peterkin, Matthew Guille, Roger Patient, & Colin Sharpe. (2015). Short linear motif acquisition, exon formation and alternative splicing determine a pathway to diversity for NCoR-family co-repressors. Open Biology. 5(8). 150063–150063. 7 indexed citations

4.

Pouget, Claire, Tessa Peterkin, Filipa C. Simões, et al.. (2014). FGF signalling restricts haematopoietic stem cell specification via modulation of the BMP pathway. Nature Communications. 5(1). 5588–5588. 40 indexed citations

5.

Simões, Filipa C., Tessa Peterkin, & Roger Patient. (2011). Fgf differentially controls cross-antagonism between cardiac and haemangioblast regulators. Development. 138(15). 3235–3245. 41 indexed citations

6.

Noseda, Michela, Tessa Peterkin, Filipa C. Simões, Roger Patient, & Michael Schneider. (2011). Cardiopoietic Factors. Circulation Research. 108(1). 129–152. 86 indexed citations

7.

Peterkin, Tessa, Abigail Gibson, & Roger Patient. (2009). Common genetic control of haemangioblast and cardiac development in zebrafish. Development. 136(9). 1465–1474. 48 indexed citations

8.

Peterkin, Tessa, Abigail Gibson, & Roger Patient. (2007). Redundancy and evolution of GATA factor requirements in development of the myocardium. Developmental Biology. 311(2). 623–635. 73 indexed citations

9.

Peterkin, Tessa, Abigail Gibson, Matthew Loose, & Roger Patient. (2004). The roles of GATA-4, -5 and -6 in vertebrate heart development. Seminars in Cell and Developmental Biology. 16(1). 83–94. 144 indexed citations

10.

Peterkin, Tessa. (2003). GATA-6 maintains BMP-4 and Nkx2 expression during cardiomyocyte precursor maturation. The EMBO Journal. 22(16). 4260–4273. 97 indexed citations

11.

Brzostowski, Joseph, et al.. (2000). RNA-dependent cytoplasmic anchoring of a transcription factor subunit during Xenopus development. The EMBO Journal. 19(14). 3683–3693. 36 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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