Shams Iqbal

47 total papers · 491 total citations
27 papers, 234 citations indexed

About

Shams Iqbal is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Hepatology. According to data from OpenAlex, Shams Iqbal has authored 27 papers receiving a total of 234 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Surgery, 11 papers in Pulmonary and Respiratory Medicine and 7 papers in Hepatology. Recurrent topics in Shams Iqbal's work include Hepatocellular Carcinoma Treatment and Prognosis (6 papers), Aortic aneurysm repair treatments (3 papers) and Vascular anomalies and interventions (3 papers). Shams Iqbal is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (6 papers), Aortic aneurysm repair treatments (3 papers) and Vascular anomalies and interventions (3 papers). Shams Iqbal collaborates with scholars based in United States, India and Poland. Shams Iqbal's co-authors include Sanjeeva P. Kalva, Anil K. Pillai, Raymond W. Liu, Dania Daye, Sebastian Flacke, Stéphan Wicky, Azadeh Tabari, Omar M. Omar, Michael S. Gee and Andrew X. Zhu and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and American Journal of Clinical Pathology.

In The Last Decade

Shams Iqbal

20 papers receiving 232 citations

Author Peers

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

Author						Papers	Cites
Shams Iqbal	126	89	54	30	29	27	234
Natasha Hasemaki	97 0.8×	84 0.9×	33 0.6×	57 1.9×	20 0.7×	28	249
Pascual Parrilla-Paricio	215 1.7×	57 0.6×	30 0.6×	24 0.8×	12 0.4×	23	298
Lazaros Reppas	214 1.7×	155 1.7×	49 0.9×	27 0.9×	22 0.8×	36	326
Azarakhsh Baghdadi	82 0.7×	46 0.5×	60 1.1×	33 1.1×	21 0.7×	24	203
Nikolaos Ptohis	153 1.2×	133 1.5×	49 0.9×	52 1.7×	33 1.1×	35	326
R. Tétreau	153 1.2×	73 0.8×	40 0.7×	72 2.4×	45 1.6×	23	254
Carolina Lanza	147 1.2×	112 1.3×	38 0.7×	26 0.9×	30 1.0×	35	257
Chrysovalantis Vergadis	120 1.0×	76 0.9×	26 0.5×	53 1.8×	12 0.4×	28	227
Roman Inauen	119 0.9×	137 1.5×	69 1.3×	84 2.8×	18 0.6×	25	320
Priscila Mina Falsarella	98 0.8×	125 1.4×	45 0.8×	32 1.1×	53 1.8×	39	265

Countries citing papers authored by Shams Iqbal

Since Specialization

Citations

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

Fields of papers citing papers by Shams Iqbal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shams Iqbal

This figure shows the co-authorship network connecting the top 25 collaborators of Shams Iqbal. A scholar is included among the top collaborators of Shams Iqbal 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 Shams Iqbal. Shams Iqbal 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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