Rauf Latif

4.5k total citations · 1 hit paper
84 papers, 3.1k citations indexed

About

Rauf Latif is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Genetics. According to data from OpenAlex, Rauf Latif has authored 84 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Molecular Biology, 47 papers in Endocrinology, Diabetes and Metabolism and 22 papers in Genetics. Recurrent topics in Rauf Latif's work include Thyroid Disorders and Treatments (41 papers), Receptor Mechanisms and Signaling (17 papers) and Growth Hormone and Insulin-like Growth Factors (15 papers). Rauf Latif is often cited by papers focused on Thyroid Disorders and Treatments (41 papers), Receptor Mechanisms and Signaling (17 papers) and Growth Hormone and Insulin-like Growth Factors (15 papers). Rauf Latif collaborates with scholars based in United States, Australia and Japan. Rauf Latif's co-authors include Terry F. Davies, Syed A. Morshed, Risheng Ma, Russell Marians, Takao Ando, Peter N. Graves, Mone Zaidi, Yuji Nagayama, Xiao‐Ming Yin and Mihaly Mezei and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Rauf Latif

84 papers receiving 3.0k citations

Hit Papers

align trajectories

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.

Graves’ disease

2020 243 citations Terry F. Davies, Stig Andersen et al. Nature Reviews Disease Primers profile →

Peers

Rauf Latif

EDM

MB

PFM

GENET

PHYSI

Anna Spada Italy

Roni J. Bollag United States

Sue M. Firth Australia

Anita Farhi United States

Gianfranco Fenzi Italy

Russell Marians United States

X F Kong United States

Geri Méduri France

Peter A. Cattini Canada

Anna L. Mitchell United Kingdom

Anna Spada Italy

Rauf Latif

3.5k ×2.0

EDM

2.6k ×2.3

MB

259 ×0.5

PFM

1.4k ×2.7

GENET

323 ×1.0

PHYSI

Citations per year, relative to Rauf Latif Rauf Latif (= 1×) peers Anna Spada

Countries citing papers authored by Rauf Latif

Since Specialization

Citations

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

Fields of papers citing papers by Rauf Latif

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rauf Latif

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

20 of 20 papers shown

1.

Mezei, Mihaly, et al.. (2025). Conjoining of the TSH Receptor With the IGF-1 Receptor With Particular Attention to the Role of β1-Arrestin. Endocrinology. 167(2). 1 indexed citations

2.

Mansoori, Mohd Nizam, Rauf Latif, Syed A. Morshed, Mone Zaidi, & Terry F. Davies. (2024). TSH enhances neurite outgrowth. Frontiers in Endocrinology. 15. 1463964–1463964. 1 indexed citations

3.

Morshed, Syed A., Rauf Latif, & Terry F. Davies. (2023). Signal responses to neutral TSH receptor antibody – A cycle of damage in the pathophysiology of Graves’ disease. Journal of Autoimmunity. 136. 103012–103012. 7 indexed citations

4.

Morshed, Syed A., Risheng Ma, Rauf Latif, & Terry F. Davies. (2021). Mechanisms in Graves Eye Disease: Apoptosis as the End Point of Insulin-Like Growth Factor 1 Receptor Inhibition. Thyroid. 32(4). 429–439. 16 indexed citations

5.

Davies, Terry F., Rauf Latif, Ravi Sachidanandam, & Risheng Ma. (2021). The Transient Human Thyroid Progenitor Cell: Examining the Thyroid Continuum from Stem Cell to Follicular Cell. Thyroid. 31(8). 1151–1159. 4 indexed citations

6.

Morshed, Syed A., Rauf Latif, & Terry F. Davies. (2021). Rescue of thyroid cells from antibody induced cell death via induction of autophagy. Journal of Autoimmunity. 126. 102746–102746. 10 indexed citations

7.

Ma, Risheng, Syed A. Morshed, Rauf Latif, & Terry F. Davies. (2020). Epigenetic Changes During Human Thyroid Cell Differentiation. Thyroid. 30(11). 1666–1675. 7 indexed citations

8.

Davies, Terry F., Stig Andersen, Rauf Latif, et al.. (2020). Graves’ disease. Nature Reviews Disease Primers. 6(1). 52–52. 243 indexed citations breakdown →

9.

Morshed, Syed A., Risheng Ma, Rauf Latif, & Terry F. Davies. (2019). Cleavage Region Thyrotropin Receptor Antibodies Influence Thyroid Cell Survival In Vivo. Thyroid. 29(7). 993–1002. 19 indexed citations

10.

Ma, Risheng, Rauf Latif, & Terry F. Davies. (2015). Human Embryonic Stem Cells Form Functional Thyroid Follicles. Thyroid. 25(4). 455–461. 45 indexed citations

11.

Zhu, Lingling, Harry C. Blair, Jay Cao, et al.. (2012). Blocking antibody to the β-subunit of FSH prevents bone loss by inhibiting bone resorption and stimulating bone synthesis. Proceedings of the National Academy of Sciences. 109(36). 14574–14579. 116 indexed citations

12.

Yin, Xiaoming, Rauf Latif, Rebecca S. Bahn, & Terry F. Davies. (2012). Genetic Profiling in Graves' Disease: Further Evidence for Lack of a Distinct Genetic Contribution to Graves' Ophthalmopathy. Thyroid. 22(7). 730–736. 49 indexed citations

13.

Martin, Andrea P., Tatjana Marinković, Claudia Canasto‐Chibuque, et al.. (2009). CCR7 Deficiency in NOD Mice Leads to Thyroiditis and Primary Hypothyroidism. The Journal of Immunology. 183(5). 3073–3080. 36 indexed citations

14.

Morshed, Syed A., Rauf Latif, & Terry F. Davies. (2008). Characterization of Thyrotropin Receptor Antibody-Induced Signaling Cascades. Endocrinology. 150(1). 519–529. 127 indexed citations

15.

Yin, Xiao‐Ming, Rauf Latif, Yaron Tomer, & Terry F. Davies. (2007). Thyroid Epigenetics. Annals of the New York Academy of Sciences. 1110(1). 193–200. 68 indexed citations

16.

Ando, Takao, Rauf Latif, & Terry F. Davies. (2007). Antibody-induced modulation of TSH receptor post-translational processing. Journal of Endocrinology. 195(1). 179–186. 16 indexed citations

17.

Davies, Terry F., Russell Marians, & Rauf Latif. (2002). The TSH receptor reveals itself. Journal of Clinical Investigation. 110(2). 161–164. 139 indexed citations

18.

Ando, Takao, Rauf Latif, Alla Pritsker, et al.. (2002). A monoclonal thyroid-stimulating antibody. Journal of Clinical Investigation. 110(11). 1667–1674. 71 indexed citations

19.

Davies, Terry F., Russell Marians, & Rauf Latif. (2002). The TSH receptor reveals itself. Journal of Clinical Investigation. 110(2). 161–164. 172 indexed citations

20.

Latif, Rauf, Peter N. Graves, & Terry F. Davies. (2001). Oligomerization of the Human Thyrotropin Receptor. Journal of Biological Chemistry. 276(48). 45217–45224. 104 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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