Albert D. Kim

3.0k total citations
18 papers, 2.0k citations indexed

About

Albert D. Kim is a scholar working on Molecular Biology, Cell Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Albert D. Kim has authored 18 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 9 papers in Cell Biology and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Albert D. Kim's work include Zebrafish Biomedical Research Applications (9 papers), Renal and related cancers (8 papers) and Renal cell carcinoma treatment (6 papers). Albert D. Kim is often cited by papers focused on Zebrafish Biomedical Research Applications (9 papers), Renal and related cancers (8 papers) and Renal cell carcinoma treatment (6 papers). Albert D. Kim collaborates with scholars based in United States, Germany and Japan. Albert D. Kim's co-authors include David Traver, David L. Stachura, Julien Bertrand, Andrew P. McMahon, Nils O. Lindström, Jinjin Guo, Andrew Ransick, Wilson K. Clements, Matthew E. Thornton and Brendan H. Grubbs and has published in prestigious journals such as Nature, Cell and Nature Communications.

In The Last Decade

Albert D. Kim

18 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Albert D. Kim United States 15 1.4k 817 593 396 260 18 2.0k
Catherine Porcher United Kingdom 23 1.6k 1.2× 636 0.8× 442 0.7× 73 0.2× 706 2.7× 39 2.3k
Anne D. Koniski United States 14 734 0.5× 644 0.8× 619 1.0× 155 0.4× 409 1.6× 32 1.7k
Kenichi Miharada Japan 18 751 0.6× 258 0.3× 247 0.4× 99 0.3× 435 1.7× 43 1.7k
W. Christopher Shelley United States 18 669 0.5× 458 0.6× 444 0.7× 137 0.3× 394 1.5× 42 1.4k
María J. Sánchez Spain 21 1.1k 0.8× 850 1.0× 699 1.2× 141 0.4× 629 2.4× 50 2.2k
Colin G. Miles United Kingdom 18 949 0.7× 274 0.3× 144 0.2× 108 0.3× 152 0.6× 32 1.3k
Elliot Epner United States 29 2.5k 1.8× 153 0.2× 310 0.5× 173 0.4× 518 2.0× 68 3.8k
Joanna Tober United States 14 676 0.5× 631 0.8× 437 0.7× 93 0.2× 410 1.6× 19 1.2k
Rob E. Ploemacher Netherlands 28 1.4k 1.0× 306 0.4× 768 1.3× 194 0.5× 1.3k 4.9× 64 2.9k
Diane Zhou United States 12 1.1k 0.8× 185 0.2× 113 0.2× 389 1.0× 122 0.5× 12 1.7k

Countries citing papers authored by Albert D. Kim

Since Specialization
Citations

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

Fields of papers citing papers by Albert D. Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Albert D. Kim. 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 Albert D. Kim. The network helps show where Albert D. Kim may publish in the future.

Co-authorship network of co-authors of Albert D. Kim

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

All Works

18 of 18 papers shown
1.
Huang, Biao, Riana K. Parvez, Yidan Li, et al.. (2021). Generation of patterned kidney organoids that recapitulate the adult kidney collecting duct system from expandable ureteric bud progenitors. Nature Communications. 12(1). 3641–3641. 84 indexed citations
2.
Tran, Tracy, Nils O. Lindström, Andrew Ransick, et al.. (2019). In Vivo Developmental Trajectories of Human Podocyte Inform In Vitro Differentiation of Pluripotent Stem Cell-Derived Podocytes. Developmental Cell. 50(1). 102–116.e6. 68 indexed citations
3.
Kim, Albert D., Blue B. Lake, Song Chen, et al.. (2019). Cellular Recruitment by Podocyte-Derived Pro-migratory Factors in Assembly of the Human Renal Filter. iScience. 20. 402–414. 10 indexed citations
4.
Ransick, Andrew, Nils O. Lindström, Jing Liu, et al.. (2019). Single-Cell Profiling Reveals Sex, Lineage, and Regional Diversity in the Mouse Kidney. Developmental Cell. 51(3). 399–413.e7. 275 indexed citations
5.
Lindström, Nils O., Jinjin Guo, Albert D. Kim, et al.. (2018). Conserved and Divergent Features of Mesenchymal Progenitor Cell Types within the Cortical Nephrogenic Niche of the Human and Mouse Kidney. Journal of the American Society of Nephrology. 29(3). 806–824. 139 indexed citations
6.
Lindström, Nils O., Jill A. McMahon, Jinjin Guo, et al.. (2018). Conserved and Divergent Features of Human and Mouse Kidney Organogenesis. Journal of the American Society of Nephrology. 29(3). 785–805. 149 indexed citations
7.
O’Brien, Lori L., Qiuyu Guo, Emad Bahrami‐Samani, et al.. (2018). Transcriptional regulatory control of mammalian nephron progenitors revealed by multi-factor cistromic analysis and genetic studies. PLoS Genetics. 14(1). e1007181–e1007181. 32 indexed citations
8.
Lindström, Nils O., Guilherme De Sena Brandine, Tracy Tran, et al.. (2018). Progressive Recruitment of Mesenchymal Progenitors Reveals a Time-Dependent Process of Cell Fate Acquisition in Mouse and Human Nephrogenesis. Developmental Cell. 45(5). 651–660.e4. 133 indexed citations
9.
Lee, Yoonsung, Albert D. Kim, Claire Pouget, et al.. (2014). FGF signalling specifies haematopoietic stem cells through its regulation of somitic Notch signalling. Nature Communications. 5(1). 5583–5583. 38 indexed citations
10.
Espín-Palazón, Raquel, David L. Stachura, Clyde Campbell, et al.. (2014). Proinflammatory Signaling Regulates Hematopoietic Stem Cell Emergence. Cell. 159(5). 1070–1085. 252 indexed citations
11.
Kim, Albert D., David L. Stachura, & David Traver. (2014). Cell signaling pathways involved in hematopoietic stem cell specification. Experimental Cell Research. 329(2). 227–233. 24 indexed citations
12.
Kobayashi, Isao, Albert D. Kim, Claire Pouget, et al.. (2014). Jam1a–Jam2a interactions regulate haematopoietic stem cell fate through Notch signalling. Nature. 512(7514). 319–323. 115 indexed citations
13.
Kim, Albert D., Chase H. Melick, Wilson K. Clements, et al.. (2014). Discrete Notch signaling requirements in the specification of hematopoietic stem cells. The EMBO Journal. 33(20). 2363–2373. 76 indexed citations
14.
Clements, Wilson K., et al.. (2011). A somitic Wnt16/Notch pathway specifies haematopoietic stem cells. Nature. 474(7350). 220–224. 178 indexed citations
15.
Nielsen, Rodney D., et al.. (2009). On the Road to Conventionalization: Analyses of Nominal Coercion. 1 indexed citations
16.
Bertrand, Julien, et al.. (2008). CD41+ cmyb+ precursors colonize the zebrafish pronephros by a novel migration route to initiate adult hematopoiesis. Development. 135(10). 1853–1862. 179 indexed citations
17.
Traver, David, et al.. (2007). The Ontogeny of Definitive Hematopoiesis in the Zebrafish.. Blood. 110(11). 438–438. 1 indexed citations
18.
Bertrand, Julien, et al.. (2007). Definitive hematopoiesis initiates through a committed erythromyeloid progenitor in the zebrafish embryo. Development. 134(23). 4147–4156. 264 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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