Sophia Halassy

706 total citations · 1 hit paper
5 papers, 480 citations indexed

About

Sophia Halassy is a scholar working on Surgery, Genetics and Pathology and Forensic Medicine. According to data from OpenAlex, Sophia Halassy has authored 5 papers receiving a total of 480 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Surgery, 2 papers in Genetics and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Sophia Halassy's work include Mesenchymal stem cell research (2 papers), Ovarian cancer diagnosis and treatment (2 papers) and Muscle and Compartmental Disorders (1 paper). Sophia Halassy is often cited by papers focused on Mesenchymal stem cell research (2 papers), Ovarian cancer diagnosis and treatment (2 papers) and Muscle and Compartmental Disorders (1 paper). Sophia Halassy collaborates with scholars based in United States, Grenada and India. Sophia Halassy's co-authors include Christina McKee, Christina Brown, Shreeya Bakshi, Keegan Walker, Robert A. Dodds, David M. Svinarich, Chhabi K. Govind, G. Rasul Chaudhry, Suleiman Kojan and David C. Clarke and has published in prestigious journals such as Stem Cell Research & Therapy, Journal of Tissue Engineering and Regenerative Medicine and Gynecologic Oncology Reports.

In The Last Decade

Sophia Halassy

5 papers receiving 472 citations

Hit Papers

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What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Mesenchymal stem cells: Cell therapy and regeneration potential

2019 433 citations Christina Brown, Christina McKee et al. Journal of Tissue Engineering and Regenerative Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sophia Halassy United States	3	253	186	142	78	53	5	480
Shreeya Bakshi United States	6	250 1.0×	201 1.1×	153 1.1×	73 0.9×	60 1.1×	9	504
Keegan Walker United States	6	249 1.0×	203 1.1×	144 1.0×	73 0.9×	64 1.2×	6	492
Nataliya Basalova Russia	11	228 0.9×	197 1.1×	169 1.2×	60 0.8×	48 0.9×	33	527
Kuixing Wang China	8	218 0.9×	251 1.3×	125 0.9×	87 1.1×	73 1.4×	9	547
Joana R. Ferreira Portugal	8	269 1.1×	199 1.1×	197 1.4×	81 1.0×	86 1.6×	10	658
Dong Hua China	3	215 0.8×	177 1.0×	103 0.7×	55 0.7×	41 0.8×	4	442
Valentina Parazzi Italy	13	222 0.9×	226 1.2×	141 1.0×	83 1.1×	71 1.3×	18	555
Gabriella Andriolo Italy	10	261 1.0×	312 1.7×	175 1.2×	102 1.3×	47 0.9×	15	534
Ningxia Xie China	6	345 1.4×	198 1.1×	140 1.0×	66 0.8×	39 0.7×	8	609
Stefanie Liedtke Germany	7	362 1.4×	235 1.3×	200 1.4×	59 0.8×	48 0.9×	12	552

Countries citing papers authored by Sophia Halassy

Since Specialization

Citations

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

Fields of papers citing papers by Sophia Halassy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sophia Halassy

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

All Works

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5 of 5 papers shown

1.

Brown, Christina, et al.. (2021). Neural stem cells derived from primitive mesenchymal stem cells reversed disease symptoms and promoted neurogenesis in an experimental autoimmune encephalomyelitis mouse model of multiple sclerosis. Stem Cell Research & Therapy. 12(1). 499–499. 40 indexed citations

2.

Halassy, Sophia, et al.. (2020). Prophylactic bilateral Salpingo-oophorectomy and eventual development of endometrial cancer: Two individual case reports. Case Reports in Women s Health. 26. e00195–e00195. 1 indexed citations

3.

Halassy, Sophia, et al.. (2020). Metastatic brain disease in early stage ovarian cancer: A case report. Gynecologic Oncology Reports. 32. 100540–100540. 2 indexed citations

4.

Halassy, Sophia & David C. Clarke. (2019). Twisting around an axis: A case report of uterine torsion. Case Reports in Women s Health. 25. e00170–e00170. 4 indexed citations

5.

Brown, Christina, Christina McKee, Shreeya Bakshi, et al.. (2019). Mesenchymal stem cells: Cell therapy and regeneration potential. Journal of Tissue Engineering and Regenerative Medicine. 13(9). 1738–1755. 433 indexed citations breakdown →

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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