Shiyama Mudali

605 total citations
7 papers, 480 citations indexed

About

Shiyama Mudali is a scholar working on Pathology and Forensic Medicine, Oncology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Shiyama Mudali has authored 7 papers receiving a total of 480 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Pathology and Forensic Medicine, 2 papers in Oncology and 2 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Shiyama Mudali's work include Hormonal and reproductive studies (2 papers), Antenna Design and Analysis (1 paper) and Cancer Research and Treatments (1 paper). Shiyama Mudali is often cited by papers focused on Hormonal and reproductive studies (2 papers), Antenna Design and Analysis (1 paper) and Cancer Research and Treatments (1 paper). Shiyama Mudali collaborates with scholars based in United States. Shiyama Mudali's co-authors include Christine A. Iacobuzio–Donahue, Jingzhong Ding, Moysés Szklo, Sherita Hill Golden, Elizabeth A. Montgomery, Shinichi Yachida, Adrian S. Dobs, Jane A. Cauley, Sindhu Lakkur and Baojin Fu and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, The American Journal of Surgical Pathology and American Journal of Clinical Pathology.

In The Last Decade

Shiyama Mudali

7 papers receiving 465 citations

Peers

Shiyama Mudali
Comparison fields: 5 of 65
  • Oncology 171
  • Pulmonary and Respiratory Medicine 129
  • Endocrinology, Diabetes and Metabolism 99
  • Molecular Biology 89
  • Pathology and Forensic Medicine 81
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Guoqiang Bao China View profile →
Citations per field, relative to Shiyama Mudali
Shiyama Mudali · 1×
Citations per year, relative to Shiyama Mudali
Shiyama Mudali · 1×

Countries citing papers authored by Shiyama Mudali

Since Specialization
Citations

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

Fields of papers citing papers by Shiyama Mudali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shiyama Mudali

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

All Works

7 of 7 papers shown
# Work Indexed citations
1 28
2 14
3 82
4
Preclinical evaluation of MORAb-009, a chimeric antibody targeting tumor-associated mesothelin.
155
5 52
6 95
7 54

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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2026