Aniska A. Chhatta

434 total citations
9 papers, 338 citations indexed

About

Aniska A. Chhatta is a scholar working on Surgery, Molecular Biology and Hepatology. According to data from OpenAlex, Aniska A. Chhatta has authored 9 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Surgery, 4 papers in Molecular Biology and 3 papers in Hepatology. Recurrent topics in Aniska A. Chhatta's work include Pancreatic function and diabetes (5 papers), Liver physiology and pathology (3 papers) and Neuroendocrine Tumor Research Advances (2 papers). Aniska A. Chhatta is often cited by papers focused on Pancreatic function and diabetes (5 papers), Liver physiology and pathology (3 papers) and Neuroendocrine Tumor Research Advances (2 papers). Aniska A. Chhatta collaborates with scholars based in Netherlands, United States and Germany. Aniska A. Chhatta's co-authors include Olaf van Tellingen, Alfred H. Schinkel, Maarten T. Huisman, Jos H. Beijnen, Ruurdtje Hoekstra, Lysbeth ten Bloemendaal, Robert A.F.M. Chamuleau, P.P.C. Poyck, Jurgen Seppen and Masja de Haas and has published in prestigious journals such as Analytical Biochemistry, International Journal of Cancer and Tissue Engineering.

In The Last Decade

Aniska A. Chhatta

9 papers receiving 329 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aniska A. Chhatta Netherlands 8 166 96 92 68 40 9 338
Claudia Stroß Germany 11 211 1.3× 94 1.0× 62 0.7× 71 1.0× 21 0.5× 15 314
Nanya Wang China 13 148 0.9× 37 0.4× 150 1.6× 86 1.3× 16 0.4× 29 450
Norimitsu Shirai United States 11 64 0.4× 48 0.5× 148 1.6× 21 0.3× 13 0.3× 30 367
Ming‐Chih Lai Taiwan 11 87 0.5× 24 0.3× 164 1.8× 61 0.9× 8 0.2× 17 405
Zhenhua Dai United States 12 76 0.5× 70 0.7× 57 0.6× 12 0.2× 5 0.1× 15 571
H. Kurosawa Japan 8 98 0.6× 136 1.4× 158 1.7× 141 2.1× 8 0.2× 16 395
Yasuhiko Makino Japan 7 117 0.7× 28 0.3× 70 0.8× 13 0.2× 6 0.1× 11 476
Youichi Shibata Japan 5 89 0.5× 28 0.3× 53 0.6× 67 1.0× 3 0.1× 8 503
Yasutaka Inagaki Japan 12 49 0.3× 30 0.3× 78 0.8× 108 1.6× 7 0.2× 28 361
Sriram Bandi United States 12 41 0.2× 138 1.4× 185 2.0× 146 2.1× 4 0.1× 23 407

Countries citing papers authored by Aniska A. Chhatta

Since Specialization
Citations

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

Fields of papers citing papers by Aniska A. Chhatta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aniska A. Chhatta. 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 Aniska A. Chhatta. The network helps show where Aniska A. Chhatta may publish in the future.

Co-authorship network of co-authors of Aniska A. Chhatta

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

All Works

9 of 9 papers shown
1.
2.
Til, Niek P. van, Aniska A. Chhatta, Lysbeth ten Bloemendaal, et al.. (2009). Novel immortalized human fetal liver cell line, cBAL111, has the potential to differentiate into functional hepatocytes. BMC Biotechnology. 9(1). 89–89. 39 indexed citations
3.
Westerman, Bart A., R.H.J. Breuer, Ankie Poutsma, et al.. (2007). Basic Helix-Loop-Helix Transcription Factor Profiling of Lung Tumors Shows Aberrant Expression of the Proneural Gene Atonal Homolog 1 (ATOH1, HATH1, MATH1) in Neuroendocrine Tumors. The International Journal of Biological Markers. 22(2). 114–123. 16 indexed citations
4.
Westerman, Bart A., R.H.J. Breuer, Ankie Poutsma, et al.. (2007). Basic helix-loop-helix transcription factor profiling of lung tumors shows aberrant expression of the proneural gene atonal homolog 1 (ATOH1, HATH1, MATH1) in neuroendocrine tumors. The International Journal of Biological Markers. 22(2). 114–123. 14 indexed citations
5.
Poyck, P.P.C., Ruurdtje Hoekstra, Aniska A. Chhatta, et al.. (2007). Time-Related Analysis of Metabolic Liver Functions, Cellular Morphology, and Gene Expression of Hepatocytes Cultured in the Bioartificial Liver of the Academic Medical Center in Amsterdam (AMC-BAL). Tissue Engineering. 13(6). 1235–1246. 17 indexed citations
6.
Bloemendaal, Lysbeth ten, Aniska A. Chhatta, Kees Weijer, et al.. (2006). In Vitro Functionality of Human Fetal Liver Cells and Clonal Derivatives under Proliferative Conditions. Cell Transplantation. 15(8-9). 811–822. 22 indexed citations
7.
Huisman, Maarten T., Aniska A. Chhatta, Olaf van Tellingen, Jos H. Beijnen, & Alfred H. Schinkel. (2005). MRP2 (ABCC2) transports taxanes and confers paclitaxel resistance and both processes are stimulated by probenecid. International Journal of Cancer. 116(5). 824–829. 165 indexed citations
8.
Hoekstra, Ruurdtje, et al.. (2005). Increased reproducibility of quantitative reverse transcriptase–PCR. Analytical Biochemistry. 340(2). 376–379. 22 indexed citations
9.
Westerman, Bart A., et al.. (2003). NEUROD1 acts in vitro as an upstream regulator of NEUROD2 in trophoblast cells. Biochimica et Biophysica Acta (BBA) - Gene Structure and Expression. 1676(1). 96–103. 5 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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