Leila Shobab

21 total papers · 681 total citations
14 papers, 500 citations indexed

About

Leila Shobab is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Surgery. According to data from OpenAlex, Leila Shobab has authored 14 papers receiving a total of 500 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Endocrinology, Diabetes and Metabolism, 3 papers in Genetics and 2 papers in Surgery. Recurrent topics in Leila Shobab's work include Thyroid Cancer Diagnosis and Treatment (10 papers), BRCA gene mutations in cancer (3 papers) and Genetic factors in colorectal cancer (2 papers). Leila Shobab is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (10 papers), BRCA gene mutations in cancer (3 papers) and Genetic factors in colorectal cancer (2 papers). Leila Shobab collaborates with scholars based in United States, Canada and Brazil. Leila Shobab's co-authors include Howard Feldman, Ging‐Yuek Robin Hsiung, Leonard Wartofsky, Kenneth D. Burman, Sabine Ivison, Jacqueline Jonklaas, Cecily Q. Bernales, Theodore S. Steiner, Rebecca Feldman and Cristiane Gomes-Lima and has published in prestigious journals such as The Journal of Immunology, The Journal of Clinical Endocrinology & Metabolism and The Lancet Neurology.

In The Last Decade

Leila Shobab

12 papers receiving 490 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Leila Shobab	145	144	129	114	55	14	500
Augustinas Sakinis	202 1.4×	106 0.7×	352 2.7×	155 1.4×	86 1.6×	16	550
Géraldine Rath	199 1.4×	148 1.0×	56 0.4×	31 0.3×	26 0.5×	17	607
Klaus Huber	159 1.1×	206 1.4×	57 0.4×	35 0.3×	59 1.1×	23	550
Dehuang Guo	268 1.8×	80 0.6×	42 0.3×	55 0.5×	44 0.8×	18	535
Cheng-Po Sung	159 1.1×	114 0.8×	76 0.6×	36 0.3×	91 1.7×	14	546
Emilia Zmuda‐Trzebiatowska	302 2.1×	119 0.8×	108 0.8×	70 0.6×	24 0.4×	9	453
Darijana Horvat	171 1.2×	62 0.4×	80 0.6×	50 0.4×	48 0.9×	27	577
T Takenawa	287 2.0×	112 0.8×	93 0.7×	31 0.3×	23 0.4×	14	505
Swapnil V. Shewale	247 1.7×	133 0.9×	134 1.0×	85 0.7×	46 0.8×	19	587
Kyoji Urayama	286 2.0×	68 0.5×	64 0.5×	102 0.9×	36 0.7×	14	537

Countries citing papers authored by Leila Shobab

Since Specialization

Citations

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

Fields of papers citing papers by Leila Shobab

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leila Shobab

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

All Works

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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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