Natan Stein

772 total citations
10 papers, 381 citations indexed

About

Natan Stein is a scholar working on Immunology, Molecular Biology and Epidemiology. According to data from OpenAlex, Natan Stein has authored 10 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 3 papers in Molecular Biology and 3 papers in Epidemiology. Recurrent topics in Natan Stein's work include Immune Cell Function and Interaction (8 papers), interferon and immune responses (2 papers) and CAR-T cell therapy research (2 papers). Natan Stein is often cited by papers focused on Immune Cell Function and Interaction (8 papers), interferon and immune responses (2 papers) and CAR-T cell therapy research (2 papers). Natan Stein collaborates with scholars based in Israel, Germany and United States. Natan Stein's co-authors include Ofer Mandelboim, Pinchas Tsukerman, Rachel Yamin, Yoav Charpak‐Amikam, Moriya Gamliel, Orit Berhani, Adi Reches, Batya Isaacson, Chamutal Gur and Einat Seidel and has published in prestigious journals such as The Journal of Cell Biology, PLoS ONE and Scientific Reports.

In The Last Decade

Natan Stein

10 papers receiving 372 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Natan Stein Israel	7	266	117	98	71	45	10	381
Sarah Goddard United Kingdom	6	264 1.0×	87 0.7×	87 0.9×	50 0.7×	22 0.5×	12	411
Neeraja Kulkarni India	8	260 1.0×	72 0.6×	54 0.6×	60 0.8×	28 0.6×	11	379
Mónika Ádori Sweden	11	254 1.0×	106 0.9×	68 0.7×	90 1.3×	34 0.8×	28	422
Kerri R. Thomas United States	6	587 2.2×	140 1.2×	46 0.5×	104 1.5×	24 0.5×	10	688
Hiroyoshi Doi Japan	10	166 0.6×	99 0.8×	189 1.9×	56 0.8×	25 0.6×	19	429
Marine de Marcken United States	4	383 1.4×	132 1.1×	50 0.5×	100 1.4×	24 0.5×	5	485
Masahiro Yoshinari Japan	7	319 1.2×	56 0.5×	43 0.4×	114 1.6×	33 0.7×	10	418
Xiuxu Chen United States	11	431 1.6×	92 0.8×	44 0.4×	74 1.0×	24 0.5×	24	546
Heike Dornhoff Germany	6	425 1.6×	83 0.7×	73 0.7×	89 1.3×	20 0.4×	7	574
Bianca Seigel Germany	5	334 1.3×	130 1.1×	146 1.5×	38 0.5×	9 0.2×	6	502

Countries citing papers authored by Natan Stein

Since Specialization

Citations

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

Fields of papers citing papers by Natan Stein

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Natan Stein

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

10 of 10 papers shown

1.

Kahlon, Shira, Liat Dassa, Natan Stein, et al.. (2023). CLPTM1L is a GPI-anchoring pathway component targeted by HCMV. The Journal of Cell Biology. 222(9). 2 indexed citations

2.

Stein, Natan, et al.. (2023). Eradication of CD48-positive tumors by selectively enhanced YTS cells harnessing the lncRNA NeST. iScience. 26(8). 107284–107284. 1 indexed citations

3.

Reches, Adi, et al.. (2022). NK-92 cells retain vitality and functionality when grown in standard cell culture conditions. PLoS ONE. 17(3). e0264897–e0264897. 20 indexed citations

4.

Reches, Adi, Natan Stein, Batya Isaacson, et al.. (2020). Nectin4 is a novel TIGIT ligand which combines checkpoint inhibition and tumor specificity. Journal for ImmunoTherapy of Cancer. 8(1). e000266–e000266. 90 indexed citations

5.

Stein, Natan, Orit Berhani, Dominik Schmiedel, et al.. (2019). IFNG-AS1 Enhances Interferon Gamma Production in Human Natural Killer Cells. iScience. 11. 466–473. 47 indexed citations

6.

Yamin, Rachel, Orit Berhani, Hagit Peleg, et al.. (2019). High percentages and activity of synovial fluid NK cells present in patients with advanced stage active Rheumatoid Arthritis. Scientific Reports. 9(1). 1351–1351. 62 indexed citations

7.

Vitenshtein, Alon, Yoav Charpak‐Amikam, Rachel Yamin, et al.. (2016). NK Cell Recognition of Candida glabrata through Binding of NKp46 and NCR1 to Fungal Ligands Epa1, Epa6, and Epa7. Cell Host & Microbe. 20(4). 527–534. 70 indexed citations

8.

Stein, Natan, Pinchas Tsukerman, & Ofer Mandelboim. (2016). The paired receptors TIGIT and DNAM-1 as targets for therapeutic antibodies. Human Antibodies. 25(3-4). 111–119. 22 indexed citations

9.

Seidel, Einat, Yotam Bar‐On, Pinchas Tsukerman, et al.. (2015). Dynamic Co-evolution of Host and Pathogen: HCMV Downregulates the Prevalent Allele MICA∗008 to Escape Elimination by NK Cells. Cell Reports. 10(6). 968–982. 65 indexed citations

10.

Stein, Natan, et al.. (2012). THU0400 Inhibition of IL-6 signalling: A novel therapeutic approach for familial mediterranean fever. Annals of the Rheumatic Diseases. 71. 290–290. 2 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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