Annelise Haft

2.0k total citations · 1 hit paper
9 papers, 1.5k citations indexed

About

Annelise Haft is a scholar working on Surgery, Molecular Biology and Genetics. According to data from OpenAlex, Annelise Haft has authored 9 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Surgery, 6 papers in Molecular Biology and 4 papers in Genetics. Recurrent topics in Annelise Haft's work include Pancreatic function and diabetes (6 papers), Liver physiology and pathology (3 papers) and Virus-based gene therapy research (2 papers). Annelise Haft is often cited by papers focused on Pancreatic function and diabetes (6 papers), Liver physiology and pathology (3 papers) and Virus-based gene therapy research (2 papers). Annelise Haft collaborates with scholars based in United States, Australia and United Kingdom. Annelise Haft's co-authors include Markus Grompe, Milton J. Finegold, Craig Dorrell, Robert G. Vries, Hans Clevers, Karien M. Hamer, Nobuo Sasaki, Toshiro Sato, Meritxell Huch and Johan H. van Es and has published in prestigious journals such as Nature, Science Translational Medicine and Molecular Therapy.

In The Last Decade

Annelise Haft

9 papers receiving 1.5k 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.

In vitro expansion of single Lgr5+ liver stem cells induced by Wnt-driven regeneration

2013 1.1k citations Meritxell Huch, Craig Dorrell et al. Nature profile →

Peers

Annelise Haft

MB

SURGE

HEPAT

ONCOL

BE

S. Tamir Rashid United Kingdom

Sara Dutton Sackett United States

Amanda Andersson-Rolf United Kingdom

Yoshitaka Miyagawa Japan

Dirk Moritz Switzerland

Rebecca L. Aucott United Kingdom

Katsuhisa Tashiro Japan

Yana Zavros United States

Gary Quinn Japan

Miriam Gordillo United States

S. Tamir Rashid United Kingdom

Annelise Haft

1.7k ×2.4

MB

520 ×0.9

SURGE

352 ×0.7

HEPAT

198 ×0.5

ONCOL

367 ×1.2

BE

Citations per year, relative to Annelise Haft Annelise Haft (= 1×) peers S. Tamir Rashid

Countries citing papers authored by Annelise Haft

Since Specialization

Citations

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

Fields of papers citing papers by Annelise Haft

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Annelise Haft

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

All Works

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9 of 9 papers shown

1.

Wang, Yuhan, Craig Dorrell, Willscott E. Naugler, et al.. (2018). Long-Term Correction of Diabetes in Mice by In Vivo Reprogramming of Pancreatic Ducts. Molecular Therapy. 26(5). 1327–1342. 22 indexed citations

2.

Li, Bin, Craig Dorrell, Pamela Canaday, et al.. (2017). Adult Mouse Liver Contains Two Distinct Populations of Cholangiocytes. Stem Cell Reports. 9(2). 478–489. 48 indexed citations

3.

Paulk, Nicole K., Katja Pekrun, Erhua Zhu, et al.. (2017). Bioengineered AAV Capsids with Combined High Human Liver Transduction In Vivo and Unique Humoral Seroreactivity. Molecular Therapy. 26(1). 289–303. 139 indexed citations

4.

Wang, Yuhan, Feorillo Galivo, Carl Pelz, et al.. (2016). Efficient generation of pancreatic β-like cells from the mouse gallbladder. Stem Cell Research. 17(3). 587–596. 10 indexed citations

5.

Nygaard, Sean, Adi Barzel, Annelise Haft, et al.. (2016). A universal system to select gene-modified hepatocytes in vivo. Science Translational Medicine. 8(342). 342ra79–342ra79. 39 indexed citations

6.

Dorrell, Craig, Branden Tarlow, Yuhan Wang, et al.. (2014). The organoid-initiating cells in mouse pancreas and liver are phenotypically and functionally similar. Stem Cell Research. 13(2). 275–283. 60 indexed citations

7.

Hickey, Raymond, Feorillo Galivo, Jonathan Schug, et al.. (2013). Generation of islet-like cells from mouse gall bladder by direct ex vivo reprogramming. Stem Cell Research. 11(1). 503–515. 37 indexed citations

8.

Huch, Meritxell, Craig Dorrell, Sylvia F. Boj, et al.. (2013). In vitro expansion of single Lgr5+ liver stem cells induced by Wnt-driven regeneration. Nature. 494(7436). 247–250. 1149 indexed citations breakdown →

9.

Paulk, Nicole K., Karsten Wursthorn, Annelise Haft, et al.. (2012). In Vivo Selection of Transplanted Hepatocytes by Pharmacological Inhibition of Fumarylacetoacetate Hydrolase in Wild-type Mice. Molecular Therapy. 20(10). 1981–1987. 13 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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