S. L. Katyal

58 total papers · 3.9k total citations
47 papers, 3.0k citations indexed

About

S. L. Katyal is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Hepatology. According to data from OpenAlex, S. L. Katyal has authored 47 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Pulmonary and Respiratory Medicine, 22 papers in Surgery and 11 papers in Hepatology. Recurrent topics in S. L. Katyal's work include Neonatal Respiratory Health Research (17 papers), Medical Imaging and Pathology Studies (9 papers) and Organ Transplantation Techniques and Outcomes (7 papers). S. L. Katyal is often cited by papers focused on Neonatal Respiratory Health Research (17 papers), Medical Imaging and Pathology Studies (9 papers) and Organ Transplantation Techniques and Outcomes (7 papers). S. L. Katyal collaborates with scholars based in United States, Italy and Canada. S. L. Katyal's co-authors include Gurmukh Singh, James H. Oliver, R L Baron, Brian I. Carr, Mark S. Peterson, James V. Ferris, George K. Michalopoulos, Hisashi Shinozuka, Margaret Blackwood and Myra Feldman and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Cell Biology and SHILAP Revista de lepidopterología.

In The Last Decade

S. L. Katyal

47 papers receiving 2.9k citations

Hit Papers

Extrahepatic Metastases o... 2000 2026 2008 2017 2000 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
S. L. Katyal 1.1k 1.1k 943 774 456 47 3.0k
Ravi S. Chari 2.1k 1.9× 825 0.7× 874 0.9× 708 0.9× 927 2.0× 95 3.6k
Petra Rümmele 1.1k 1.0× 617 0.5× 870 0.9× 685 0.9× 856 1.9× 68 3.2k
Stefano Maria Giulini 1.3k 1.2× 727 0.6× 830 0.9× 585 0.8× 629 1.4× 104 3.5k
Sebastian Huss 480 0.4× 806 0.7× 652 0.7× 566 0.7× 429 0.9× 80 2.8k
Hirohiko Yamabe 903 0.8× 636 0.6× 404 0.4× 601 0.8× 829 1.8× 105 3.6k
Antonio Nocito 1.0k 0.9× 462 0.4× 372 0.4× 937 1.2× 1.0k 2.2× 57 2.9k
Katrin Hoffmann 821 0.7× 436 0.4× 880 0.9× 706 0.9× 824 1.8× 109 3.0k
Markus Steinbauer 963 0.9× 712 0.6× 233 0.2× 1.1k 1.4× 806 1.8× 86 3.2k
Jordi Muchart 840 0.7× 671 0.6× 2.4k 2.5× 403 0.5× 374 0.8× 73 3.8k
Richard M. Green 728 0.6× 507 0.5× 376 0.4× 608 0.8× 506 1.1× 64 2.7k

Countries citing papers authored by S. L. Katyal

Since Specialization
Citations

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

Fields of papers citing papers by S. L. Katyal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. L. Katyal. 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 S. L. Katyal. The network helps show where S. L. Katyal may publish in the future.

Co-authorship network of co-authors of S. L. Katyal

This figure shows the co-authorship network connecting the top 25 collaborators of S. L. Katyal. A scholar is included among the top collaborators of S. L. Katyal 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 S. L. Katyal. S. L. Katyal 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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