Daniel Helman

745 total citations
8 papers, 505 citations indexed

About

Daniel Helman is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Immunology. According to data from OpenAlex, Daniel Helman has authored 8 papers receiving a total of 505 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Endocrinology, Diabetes and Metabolism and 2 papers in Immunology. Recurrent topics in Daniel Helman's work include Growth Hormone and Insulin-like Growth Factors (3 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Protein Kinase Regulation and GTPase Signaling (1 paper). Daniel Helman is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (3 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Protein Kinase Regulation and GTPase Signaling (1 paper). Daniel Helman collaborates with scholars based in United States, Israel and France. Daniel Helman's co-authors include Feng Guo, Jeong-Soo Lee, Jeffery L. Kutok, Donna Neuberg, Scott J. Rodig, Shizhen Zhu, Jimann Shin, Rodney A. Stewart, Antonio R. Pérez‐Atayde and Wenchao Wang and has published in prestigious journals such as Journal of Biological Chemistry, Cancer Cell and Cancer Research.

In The Last Decade

Daniel Helman

8 papers receiving 496 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Helman United States	7	232	167	130	97	92	8	505
Michelle Connell United Kingdom	8	355 1.5×	25 0.1×	55 0.4×	27 0.3×	65 0.7×	13	618
Meenu Madan United States	12	305 1.3×	35 0.2×	22 0.2×	76 0.8×	42 0.5×	16	496
Chang‐Dae Bae South Korea	16	393 1.7×	31 0.2×	73 0.6×	11 0.1×	76 0.8×	39	613
Haya Hamza Israel	7	199 0.9×	100 0.6×	68 0.5×	6 0.1×	43 0.5×	12	429
Silke Lankiewicz Germany	9	313 1.3×	23 0.1×	158 1.2×	14 0.1×	115 1.3×	10	556
Yi Luan China	9	172 0.7×	25 0.1×	68 0.5×	124 1.3×	58 0.6×	19	409
Sumia Ali United Kingdom	8	132 0.6×	37 0.2×	98 0.8×	8 0.1×	19 0.2×	12	363
Dongming Hou China	6	221 1.0×	11 0.1×	58 0.4×	36 0.4×	57 0.6×	10	424
Ronit Heinrich Israel	13	239 1.0×	9 0.1×	68 0.5×	14 0.1×	41 0.4×	25	500
Tanima SenGupta Norway	11	522 2.3×	53 0.3×	105 0.8×	6 0.1×	53 0.6×	16	834

Countries citing papers authored by Daniel Helman

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Helman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Helman

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

All Works

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8 of 8 papers shown

1.

Anderson, Nicole, Dun Li, Marc R. Mansour, et al.. (2016). Abstract 1180: The TCA cycle transferase DLST is critical for MYC-mediated leukemogenesis. Cancer Research. 76(14_Supplement). 1180–1180. 1 indexed citations

2.

Helman, Daniel, et al.. (2013). Novel membrane‐bound reporter molecule for sorting high producer cells by flow cytometry. Cytometry Part A. 85(2). 162–168. 10 indexed citations

3.

Zhu, Shizhen, Jeong-Soo Lee, Feng Guo, et al.. (2012). Activated ALK Collaborates with MYCN in Neuroblastoma Pathogenesis. Cancer Cell. 21(3). 362–373. 235 indexed citations

4.

Barr, Valarie A., Kelsie M. Bernot, Sonal Srikanth, et al.. (2008). Dynamic Movement of the Calcium Sensor STIM1 and the Calcium Channel Orai1 in Activated T-Cells: Puncta and Distal Caps. Molecular Biology of the Cell. 19(7). 2802–2817. 121 indexed citations

5.

Herman, Asael, Daniel Helman, Oded Livnah, & Arieh Gertler. (1999). Ruminant Placental Lactogens Act as Antagonists to Homologous Growth Hormone Receptors and as Agonists to Human or Rabbit Growth Hormone Receptors. Journal of Biological Chemistry. 274(12). 7631–7639. 34 indexed citations

6.

Helman, Daniel, Yaël Cohen, Akira Matsumoto, et al.. (1998). Cytokine‐inducible SH2 protein (CIS3) and JAK2 binding protein (JAB) abolish prolactin receptor‐mediated STAT5 signaling. FEBS Letters. 441(2). 287–291. 69 indexed citations

7.

Helman, Daniel, Nicholas R. Staten, Jeanne Grosclaude, et al.. (1998). Novel Recombinant Analogues of Bovine Placental Lactogen. Journal of Biological Chemistry. 273(26). 16067–16074. 22 indexed citations

8.

Helman, Daniel, Nicholas R. Staten, John C. Byatt, et al.. (1997). Site-Directed Mutagenesis of Recombinant Bovine Placental Lactogen at Lysine-73 Leads to Selective Attenuation of Its Somatogenic Activity*. Endocrinology. 138(10). 4069–4080. 13 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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