Dillip Kumar Muduly

655 citations
47 papers · 328 · h-index 8

Impact in

Papers in

    • Cholangiocarcinoma and Gallbladder Cancer Studies 4
    • Salivary Gland Tumors Diagnosis and Treatment 3
    • Bioinformatics and Genomic Networks 9
    • Machine Learning in Bioinformatics 5

Dillip Kumar Muduly

31 papers receiving 326 citations

Peers

Dillip Kumar Muduly
Comparison fields: 5 of 59
  • Cancer Research 103
  • Oncology 112
  • Otorhinolaryngology 13
  • Molecular Biology 181
  • Radiation 17
Replace Sadatoshi Sugae with:
Sadatoshi Sugae Japan
Saroj Majumdar India
Xiushan Zheng China
Yaoxiong Xia China
Jing Jin China
Zhichao Fu China
Chaoyang Liang China
Yijun Luo China
Whitney S. Brandt United States
Runkun Yang China
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Citations per field
00.5×3.3×
Sadatoshi Sugae · 1×
Citations per year

Countries citing papers authored by Dillip Kumar Muduly

Since Specialization
Citations

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

Fields of papers citing papers by Dillip Kumar Muduly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dillip Kumar Muduly. 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 Dillip Kumar Muduly. The network helps show where Dillip Kumar Muduly may publish in the future.

Co-authors

The 25 scholars most cited alongside Dillip Kumar Muduly, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dillip Kumar Muduly Line = papers co-authored together Dillip Kumar Muduly links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020117
2 202141
3 201834
4 202222
5 202120
6 201911
7 202310
8 20127
9 20187
10 20197
11 20205
12 20195
13 20225
14 20194
15 20214
16 20244
17 20173
18 20243
19 20242
20 20172

About Dillip Kumar Muduly

Dillip Kumar Muduly is a scholar working on Surgery, Molecular Biology, Oncology, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 47 papers that have together received 328 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (9 papers), Machine Learning in Bioinformatics (5 papers), Computational Drug Discovery Methods (5 papers), Metastasis and carcinoma case studies (4 papers), Gastric Cancer Management and Outcomes (4 papers), Head and Neck Cancer Studies (4 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (4 papers) and Salivary Gland Tumors Diagnosis and Treatment (3 papers). The work is most often cited by research in Cancer Research (103 citations), Oncology (112 citations), Otorhinolaryngology (13 citations), Molecular Biology (181 citations) and Radiation (17 citations). Dillip Kumar Muduly has collaborated with scholars based in India and United Kingdom. Frequent co-authors include Omprakash Shriwas, Saroj Majumdar, Rupesh Dash, Rachna Rath, Sabindra K. Samal, Mahendran Botlagunta, Mahesh Sultania, Madhabananda Kar, Rakesh Arya and Ranjan Kumar Nanda. Their work appears in journals such as Annals of Oncology, British Journal of Cancer, Journal of Surgical Oncology, Carcinogenesis and JCO Global Oncology.

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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