Anne Kantardjieff

421 total citations
9 papers, 329 citations indexed

About

Anne Kantardjieff is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Anne Kantardjieff has authored 9 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Oncology. Recurrent topics in Anne Kantardjieff's work include Viral Infectious Diseases and Gene Expression in Insects (9 papers), Protein purification and stability (3 papers) and Virus-based gene therapy research (2 papers). Anne Kantardjieff is often cited by papers focused on Viral Infectious Diseases and Gene Expression in Insects (9 papers), Protein purification and stability (3 papers) and Virus-based gene therapy research (2 papers). Anne Kantardjieff collaborates with scholars based in United States, Singapore and Switzerland. Anne Kantardjieff's co-authors include Weichang Zhou, Nitya M. Jacob, Wei‐Shou Hu, Joon Chong Yee, Yee Jiun Kok, Michael J. Betenbaugh, Robin Philp, Faraaz N.K. Yusufi, Miranda G.S. Yap and Bhanu Chandra Mulukutla and has published in prestigious journals such as Trends in biotechnology, Biotechnology Advances and Biotechnology and Bioengineering.

In The Last Decade

Anne Kantardjieff

9 papers receiving 318 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anne Kantardjieff United States	8	310	104	50	31	18	9	329
Kelley Heffner United States	9	343 1.1×	91 0.9×	61 1.2×	27 0.9×	16 0.9×	11	356
Nitya M. Jacob United States	9	330 1.1×	116 1.1×	49 1.0×	22 0.7×	9 0.5×	12	340
Norbert Auer Austria	7	325 1.0×	132 1.3×	33 0.7×	25 0.8×	20 1.1×	9	337
Martin S. Sinacore United States	9	321 1.0×	118 1.1×	67 1.3×	40 1.3×	48 2.7×	10	361
Joon Chong Yee United States	9	451 1.5×	143 1.4×	110 2.2×	51 1.6×	17 0.9×	9	469
Jong Kwang Hong South Korea	11	302 1.0×	48 0.5×	79 1.6×	38 1.2×	40 2.2×	19	337
Daniel Ley Denmark	7	255 0.8×	60 0.6×	55 1.1×	21 0.7×	29 1.6×	7	270
Jessna H. M. Yeo Singapore	8	401 1.3×	181 1.7×	116 2.3×	37 1.2×	18 1.0×	9	428
Danny Wong Singapore	7	473 1.5×	97 0.9×	149 3.0×	62 2.0×	35 1.9×	9	497
Juan A. Hernández Bort Austria	11	460 1.5×	135 1.3×	40 0.8×	32 1.0×	18 1.0×	22	486

Countries citing papers authored by Anne Kantardjieff

Since Specialization

Citations

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

Fields of papers citing papers by Anne Kantardjieff

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anne Kantardjieff

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

9 of 9 papers shown

1.

Motallebnejad, Pedram, Anne Kantardjieff, Frank Cichocki, Samira M. Azarin, & Wei‐Shou Hu. (2023). Process engineering of natural killer cell-based immunotherapy. Trends in biotechnology. 41(10). 1314–1326. 7 indexed citations

2.

Zhou, Weichang & Anne Kantardjieff. (2014). Mammalian Cell Cultures for Biologics Manufacturing. Advances in biochemical engineering, biotechnology. 17 indexed citations

3.

Lê, Hương Giang, et al.. (2013). Dynamic gene expression for metabolic engineering of mammalian cells in culture. Metabolic Engineering. 20. 212–220. 34 indexed citations

4.

Kantardjieff, Anne & Weichang Zhou. (2013). Mammalian Cell Cultures for Biologics Manufacturing. Advances in biochemical engineering, biotechnology. 139. 1–9. 44 indexed citations

5.

Lê, Hương Giang, et al.. (2013). Transcriptome dynamics of transgene amplification in Chinese hamster ovary cells. Biotechnology and Bioengineering. 111(3). 518–528. 30 indexed citations

6.

Jung, Christine, et al.. (2011). LDH-C can be differentially expressed during fermentation of CHO cells. BMC Proceedings. 5(S8). P107–P107. 7 indexed citations

7.

Kantardjieff, Anne, Nitya M. Jacob, Joon Chong Yee, et al.. (2009). Transcriptome and proteome analysis of Chinese hamster ovary cells under low temperature and butyrate treatment. Journal of Biotechnology. 145(2). 143–159. 120 indexed citations

8.

Kantardjieff, Anne, Peter Morin Nissom, Faraaz N.K. Yusufi, et al.. (2009). Developing genomic platforms for Chinese hamster ovary cells. Biotechnology Advances. 27(6). 1028–1035. 42 indexed citations

9.

Jacob, Nitya M., Anne Kantardjieff, Faraaz N.K. Yusufi, et al.. (2009). Reaching the depth of the Chinese hamster ovary cell transcriptome. Biotechnology and Bioengineering. 105(5). 1002–1009. 28 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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