Kibibi Ganz

3.1k total citations · 1 hit paper
5 papers, 1.5k citations indexed

About

Kibibi Ganz is a scholar working on Molecular Biology, Biomedical Engineering and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Kibibi Ganz has authored 5 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Biomedical Engineering and 1 paper in Pediatrics, Perinatology and Child Health. Recurrent topics in Kibibi Ganz's work include Pluripotent Stem Cells Research (3 papers), 3D Printing in Biomedical Research (2 papers) and Birth, Development, and Health (1 paper). Kibibi Ganz is often cited by papers focused on Pluripotent Stem Cells Research (3 papers), 3D Printing in Biomedical Research (2 papers) and Birth, Development, and Health (1 paper). Kibibi Ganz collaborates with scholars based in United States, Netherlands and Israel. Kibibi Ganz's co-authors include Rudolf Jaenisch, Styliani Markoulaki, Albert W. Cheng, Yosef Buganim, Dina A. Faddah, Alexander van Oudenaarden, Sandy Klemm, Qing Gao, Yueh‐Chiang Hu and Benjamin E. Powell and has published in prestigious journals such as Cell, Cell stem cell and Stem Cell Reports.

In The Last Decade

Kibibi Ganz

5 papers receiving 1.4k 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.

Single-Cell Expression Analyses during Cellular Reprogramming Reveal an Early Stochastic and a Late Hierarchic Phase

2012 626 citations Yosef Buganim, Dina A. Faddah et al. Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kibibi Ganz United States	5	1.4k	242	113	94	90	5	1.5k
Shila Mekhoubad United States	5	1.2k 0.9×	356 1.5×	72 0.6×	60 0.6×	80 0.9×	5	1.3k
Helene Kretzmer Germany	14	1.2k 0.8×	184 0.8×	100 0.9×	68 0.7×	149 1.7×	29	1.3k
Leehee Weinberger Israel	6	1.4k 1.0×	282 1.2×	100 0.9×	166 1.8×	51 0.6×	8	1.5k
Doug Powers United States	2	952 0.7×	172 0.7×	176 1.6×	191 2.0×	36 0.4×	2	1.0k
Sarit Klugman United States	3	1.1k 0.8×	165 0.7×	102 0.9×	142 1.5×	35 0.4×	3	1.2k
Sundeep Kalantry United States	25	1.7k 1.3×	668 2.8×	49 0.4×	86 0.9×	263 2.9×	42	2.0k
Dina A. Faddah United States	9	1.9k 1.3×	180 0.7×	171 1.5×	132 1.4×	113 1.3×	12	2.0k
Rodrigo Osorno United Kingdom	10	1.1k 0.8×	105 0.4×	103 0.9×	110 1.2×	47 0.5×	11	1.1k
Nicola Festuccia France	17	1.3k 0.9×	238 1.0×	68 0.6×	61 0.6×	90 1.0×	20	1.4k
Takashi Ishiuchi Japan	15	985 0.7×	109 0.5×	33 0.3×	37 0.4×	42 0.5×	21	1.2k

Countries citing papers authored by Kibibi Ganz

Since Specialization

Citations

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

Fields of papers citing papers by Kibibi Ganz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kibibi Ganz

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

All Works

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5 of 5 papers shown

1.

Cassady, John P., Ana C. D’Alessio, Sovan Sarkar, et al.. (2014). Direct Lineage Conversion of Adult Mouse Liver Cells and B Lymphocytes to Neural Stem Cells. Stem Cell Reports. 3(6). 948–956. 48 indexed citations

2.

Buganim, Yosef, Dina A. Faddah, Albert W. Cheng, et al.. (2012). Single-Cell Expression Analyses during Cellular Reprogramming Reveal an Early Stochastic and a Late Hierarchic Phase. Cell. 150(6). 1209–1222. 626 indexed citations breakdown →

3.

Buganim, Yosef, Yueh‐Chiang Hu, Albert Cheng, et al.. (2012). Direct Reprogramming of Fibroblasts into Embryonic Sertoli-like Cells by Defined Factors. Cell stem cell. 11(3). 373–386. 134 indexed citations

4.

Carey, Bryce W., Styliani Markoulaki, Jacob H. Hanna, et al.. (2011). Reprogramming Factor Stoichiometry Influences the Epigenetic State and Biological Properties of Induced Pluripotent Stem Cells. Cell stem cell. 9(6). 588–598. 257 indexed citations

5.

Dawlaty, Meelad M., Kibibi Ganz, Benjamin E. Powell, et al.. (2011). Tet1 Is Dispensable for Maintaining Pluripotency and Its Loss Is Compatible with Embryonic and Postnatal Development. Cell stem cell. 9(2). 166–175. 394 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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