Isabel Sousa

1.5k total citations · 1 hit paper
8 papers, 1.0k citations indexed

About

Isabel Sousa is a scholar working on Molecular Biology, Surgery and Epidemiology. According to data from OpenAlex, Isabel Sousa has authored 8 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Surgery and 2 papers in Epidemiology. Recurrent topics in Isabel Sousa's work include RNA modifications and cancer (2 papers), RNA Research and Splicing (2 papers) and Liver Disease and Transplantation (1 paper). Isabel Sousa is often cited by papers focused on RNA modifications and cancer (2 papers), RNA Research and Splicing (2 papers) and Liver Disease and Transplantation (1 paper). Isabel Sousa collaborates with scholars based in Portugal, Germany and United States. Isabel Sousa's co-authors include Melina Claussnitzer, Hans Hauner, Simon N. Dankel, Gunnar Mellgren, Jannel Liu, Vijitha Puviindran, Wouter Meuleman, Christine E. Haugen, Daniel J. Drucker and Yi-Hsiang Hsu and has published in prestigious journals such as New England Journal of Medicine, Cell Metabolism and Oncotarget.

In The Last Decade

Isabel Sousa

7 papers receiving 990 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.

FTO Obesity Variant Circuitry and Adipocyte Browning in Humans

2015 878 citations Melina Claussnitzer, Simon N. Dankel et al. New England Journal of Medicine profile →

Peers

Isabel Sousa

MB

GENET

PHYSI

EPIDE

CR

Jannel Liu United States

Martine Géhin Switzerland

Julie A. Douglas United States

Michael Traurig United States

Bong-Jo Kim South Korea

Maya Ghoussaini United Kingdom

Nigel W. Rayner United Kingdom

Jill M. Norris United States

Friederike Flachsbart Germany

Thomas Sparsø Denmark

Jannel Liu United States

Isabel Sousa

574 ×1.1

MB

496 ×1.3

GENET

201 ×0.9

PHYSI

107 ×0.8

EPIDE

98 ×0.9

CR

Citations per year, relative to Isabel Sousa Isabel Sousa (= 1×) peers Jannel Liu

Countries citing papers authored by Isabel Sousa

Since Specialization

Citations

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

Fields of papers citing papers by Isabel Sousa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Isabel Sousa

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

8 of 8 papers shown

1.

Sousa, Isabel, et al.. (2023). Challenges in Management of Concomitant Primary Aldosteronism and Pheochromocytoma. American Journal of Case Reports. 24. e939659–e939659.

2.

Sinnott-Armstrong, Nasa, Isabel Sousa, Samantha Laber, et al.. (2021). A regulatory variant at 3q21.1 confers an increased pleiotropic risk for hyperglycemia and altered bone mineral density. Cell Metabolism. 33(3). 615–628.e13. 27 indexed citations

3.

Ponte, Ana, Rolando Pinho, Margarida Mota, et al.. (2018). Fecal microbiota transplantation in refractory or recurrent Clostridium difficile infection: a real-life experience in a non-academic center. Revista Española de Enfermedades Digestivas. 110(5). 311–315. 11 indexed citations

4.

Bayindir‐Buchhalter, Irem, Silvia Kocanova, Isabel Sousa, et al.. (2015). Transcriptional Pathways in cPGI2-Induced Adipocyte Progenitor Activation for Browning. Frontiers in Endocrinology. 6. 129–129. 27 indexed citations

5.

Claussnitzer, Melina, Simon N. Dankel, Kyoung-Han Kim, et al.. (2015). FTO Obesity Variant Circuitry and Adipocyte Browning in Humans. New England Journal of Medicine. 373(10). 895–907. 878 indexed citations breakdown →

6.

Loureiro, Rute, Silvia Magalhaes Novais, Katia A. Mesquita, et al.. (2015). Melatonin antiproliferative effects require active mitochondrial function in embryonal carcinoma cells. Oncotarget. 6(19). 17081–17096. 28 indexed citations

7.

Sarmento‐Ribeiro, Ana Bela, Teresa Proença, Isabel Sousa, et al.. (2012). A possible role for oxidation stress in lymphoid leukaemias and therapeutic failure. Leukemia Research. 36(8). 1041–1048. 14 indexed citations

8.

Romãozinho, José Manuel, et al.. (1997). Severe acute liver failure as the initial manifestation of haematological malignancy. European Journal of Gastroenterology & Hepatology. 9(11). 1113–1115. 18 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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