Melissa Hector-Greene

789 total citations
8 papers, 616 citations indexed

About

Melissa Hector-Greene is a scholar working on Molecular Biology, Oncology and Immunology and Allergy. According to data from OpenAlex, Melissa Hector-Greene has authored 8 papers receiving a total of 616 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Immunology and Allergy. Recurrent topics in Melissa Hector-Greene's work include TGF-β signaling in diseases (4 papers), Cell Adhesion Molecules Research (3 papers) and Ubiquitin and proteasome pathways (2 papers). Melissa Hector-Greene is often cited by papers focused on TGF-β signaling in diseases (4 papers), Cell Adhesion Molecules Research (3 papers) and Ubiquitin and proteasome pathways (2 papers). Melissa Hector-Greene collaborates with scholars based in United States, Israel and Canada. Melissa Hector-Greene's co-authors include William C. Hahn, Anna Sablina, Nathalie Colpaert, Gerard C. Blobe, Wen Chen, Jason D. Arroyo, Laura G. Corral, James A. DeCaprio, Yoav I. Henis and Hongyu Tian and has published in prestigious journals such as Cell, Journal of Clinical Investigation and Cancer Research.

In The Last Decade

Melissa Hector-Greene

8 papers receiving 606 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Melissa Hector-Greene United States	8	463	207	97	82	56	8	616
Byung–Kyu Ryu South Korea	10	374 0.8×	135 0.7×	120 1.2×	59 0.7×	63 1.1×	11	562
Jarrod R. Tremayne United States	8	310 0.7×	264 1.3×	75 0.8×	60 0.7×	44 0.8×	13	491
Harmen van Andel Netherlands	10	433 0.9×	210 1.0×	98 1.0×	92 1.1×	90 1.6×	11	630
Abhilash Gadi United States	13	376 0.8×	150 0.7×	140 1.4×	61 0.7×	97 1.7×	17	574
Andrea Bisso Italy	10	518 1.1×	291 1.4×	159 1.6×	78 1.0×	54 1.0×	17	692
Brunella Costanza Belgium	8	279 0.6×	197 1.0×	156 1.6×	63 0.8×	67 1.2×	9	470
Sara Koenig McLaughlin United States	4	337 0.7×	141 0.7×	133 1.4×	62 0.8×	41 0.7×	4	491
Kazunobu Isogaya Japan	12	427 0.9×	180 0.9×	98 1.0×	34 0.4×	34 0.6×	15	533
Jason P.W. Carey United States	12	386 0.8×	307 1.5×	101 1.0×	51 0.6×	63 1.1×	13	582
Hind Hafsi France	10	385 0.8×	301 1.5×	93 1.0×	39 0.5×	50 0.9×	12	524

Countries citing papers authored by Melissa Hector-Greene

Since Specialization

Citations

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

Fields of papers citing papers by Melissa Hector-Greene

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Melissa Hector-Greene. 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 Melissa Hector-Greene. The network helps show where Melissa Hector-Greene may publish in the future.

Co-authorship network of co-authors of Melissa Hector-Greene

This figure shows the co-authorship network connecting the top 25 collaborators of Melissa Hector-Greene. A scholar is included among the top collaborators of Melissa Hector-Greene 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 Melissa Hector-Greene. Melissa Hector-Greene 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.

Hector-Greene, Melissa, et al.. (2021). ALK1 regulates the internalization of endoglin and the type III TGF-β receptor. Molecular Biology of the Cell. 32(7). 605–621. 7 indexed citations

2.

Tian, Hongyu, Jennifer J. Huang, Christelle Golzio, et al.. (2018). Endoglin interacts with VEGFR2 to promote angiogenesis. The FASEB Journal. 32(6). 2934–2949. 53 indexed citations

3.

Hector-Greene, Melissa, et al.. (2015). Regulation of TGF-β receptor hetero-oligomerization and signaling by endoglin. Molecular Biology of the Cell. 26(17). 3117–3127. 31 indexed citations

4.

Hector-Greene, Melissa, et al.. (2015). TβRIII independently binds type I and type II TGF-β receptors to inhibit TGF-β signaling. Molecular Biology of the Cell. 26(19). 3535–3545. 31 indexed citations

5.

Hanks, Brent A., Alisha Holtzhausen, Melissa Hector-Greene, et al.. (2013). Type III TGF-β receptor downregulation generates an immunotolerant tumor microenvironment. Journal of Clinical Investigation. 123(9). 3925–3940. 97 indexed citations

6.

Sablina, Anna, Melissa Hector-Greene, Nathalie Colpaert, & William C. Hahn. (2010). Identification of PP2A Complexes and Pathways Involved in Cell Transformation. Cancer Research. 70(24). 10474–10484. 150 indexed citations

7.

Puustinen, Pietri, Melissa R. Junttila, Sari Vanhatupa, et al.. (2009). PME-1 Protects Extracellular Signal-Regulated Kinase Pathway Activity from Protein Phosphatase 2A–Mediated Inactivation in Human Malignant Glioma. Cancer Research. 69(7). 2870–2877. 81 indexed citations

8.

Sablina, Anna, Wen Chen, Jason D. Arroyo, et al.. (2007). The Tumor Suppressor PP2A Aβ Regulates the RalA GTPase. Cell. 129(5). 969–982. 166 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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