Shano Naseem

194 total papers · 1.3k total citations
129 papers, 784 citations indexed

About

Shano Naseem is a scholar working on Hematology, Genetics and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Shano Naseem has authored 129 papers receiving a total of 784 indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Hematology, 44 papers in Genetics and 36 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Shano Naseem's work include Acute Myeloid Leukemia Research (33 papers), Acute Lymphoblastic Leukemia research (30 papers) and Chronic Lymphocytic Leukemia Research (27 papers). Shano Naseem is often cited by papers focused on Acute Myeloid Leukemia Research (33 papers), Acute Lymphoblastic Leukemia research (30 papers) and Chronic Lymphocytic Leukemia Research (27 papers). Shano Naseem collaborates with scholars based in India, United States and Czechia. Shano Naseem's co-authors include Neelam Varma, Pankaj Malhotra, Jasmina Ahluwalia, Reena Das, Man Updesh Singh Sachdeva, Robert L. Jesse, Michalis Kontos, Michael Heß, Y. Z. Qian and Rakesh C. Kukreja and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Shano Naseem

114 papers receiving 763 citations

Author Peers

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

Author Last Decade Papers Cites
Shano Naseem 262 222 177 173 113 129 784
D I Evans 302 1.2× 146 0.7× 130 0.7× 178 1.0× 63 0.6× 58 888
Young‐Uk Cho 372 1.4× 123 0.6× 186 1.1× 177 1.0× 85 0.8× 108 907
Manoranjan Mahapatra 394 1.5× 145 0.7× 274 1.5× 117 0.7× 57 0.5× 161 904
Navin Khattry 354 1.4× 125 0.6× 145 0.8× 122 0.7× 71 0.6× 103 790
Man Updesh Singh Sachdeva 233 0.9× 140 0.6× 188 1.1× 98 0.6× 98 0.9× 117 639
Chaim Kaplinsky 225 0.9× 127 0.6× 77 0.4× 180 1.0× 103 0.9× 61 894
Hyery Kim 198 0.8× 148 0.7× 104 0.6× 109 0.6× 68 0.6× 100 658
Sang Hyuk Park 333 1.3× 91 0.4× 189 1.1× 173 1.0× 92 0.8× 87 863
Alka Khadwal 370 1.4× 149 0.7× 177 1.0× 137 0.8× 117 1.0× 209 854
G. Ehninger 463 1.8× 110 0.5× 144 0.8× 162 0.9× 53 0.5× 56 859

Countries citing papers authored by Shano Naseem

Since Specialization
Citations

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

Fields of papers citing papers by Shano Naseem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shano Naseem

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