Latif Kazim

23 total papers · 920 total citations
16 papers, 757 citations indexed

About

Latif Kazim is a scholar working on Molecular Biology, Immunology and Cell Biology. According to data from OpenAlex, Latif Kazim has authored 16 papers receiving a total of 757 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Immunology and 4 papers in Cell Biology. Recurrent topics in Latif Kazim's work include Heat shock proteins research (4 papers), Endoplasmic Reticulum Stress and Disease (3 papers) and Immunotherapy and Immune Responses (3 papers). Latif Kazim is often cited by papers focused on Heat shock proteins research (4 papers), Endoplasmic Reticulum Stress and Disease (3 papers) and Immunotherapy and Immune Responses (3 papers). Latif Kazim collaborates with scholars based in United States, Italy and United Kingdom. Latif Kazim's co-authors include John R. Subjeck, Elizabeth A. Repasky, Smitha R. James, Liguo Song, Adam R. Karpf, Xiangyang Wang, Xing Chen, Xiang‐Yang Wang, Hilal Arnouk and Kyoung‐Soo Choi and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Immunology and Analytical Chemistry.

In The Last Decade

Latif Kazim

16 papers receiving 747 citations

Author Peers

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

Author Last Decade Papers Cites
Latif Kazim 563 283 127 80 61 16 757
Anne‐Laure Joly 443 0.8× 274 1.0× 120 0.9× 48 0.6× 55 0.9× 14 795
Peter T. Guidon 538 1.0× 103 0.4× 157 1.2× 36 0.5× 59 1.0× 16 764
Róisín O’Flaherty 596 1.1× 157 0.6× 41 0.3× 99 1.2× 57 0.9× 28 782
Barbara H. Sanford 500 0.9× 296 1.0× 89 0.7× 76 0.9× 74 1.2× 23 777
Scott K. Wooden 613 1.1× 112 0.4× 427 3.4× 81 1.0× 64 1.0× 15 844
Kohsuke Nonoguchi 658 1.2× 194 0.7× 104 0.8× 67 0.8× 196 3.2× 15 884
Barry E. Ledford 297 0.5× 209 0.7× 171 1.3× 94 1.2× 106 1.7× 29 621
Ritwick Sawarkar 762 1.4× 60 0.2× 72 0.6× 72 0.9× 35 0.6× 29 900
Masayoshi Imagawa 384 0.7× 113 0.4× 73 0.6× 63 0.8× 34 0.6× 14 754
Yue Xie 514 0.9× 196 0.7× 143 1.1× 25 0.3× 48 0.8× 11 677

Countries citing papers authored by Latif Kazim

Since Specialization
Citations

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

Fields of papers citing papers by Latif Kazim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Latif Kazim

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