Prejesh Philips

1.8k citations
83 papers · 1.3k · h-index 20

Impact in

    • Microbial Inactivation Methods
  • Hepatology top 5%
    • Hepatocellular Carcinoma Treatment and Prognosis

Papers in

    • Pancreatic and Hepatic Oncology Research 8
    • Cutaneous Melanoma Detection and Management 7
    • Hepatocellular Carcinoma Treatment and Prognosis 16

Prejesh Philips

82 papers receiving 1.3k citations

Peers

Prejesh Philips
Comparison fields: 5 of 82
  • Biotechnology 410
  • Hepatology 257
  • Physiology 70
  • Oncology 274
  • Surgery 296
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E. Baker United States
Salvatore Paiella Italy
Seok Ling Ong United Kingdom
Peter Popovič Slovenia
Federico Collettini Germany
Matthijs J. Scheltema Netherlands
Ugo Pace Italy
Michelle L. DeOliveira Switzerland
Hala Muaddi Canada
Alberto Marchet Italy
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Citations per field
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E. Baker · 1×
Citations per year

Countries citing papers authored by Prejesh Philips

Since Specialization
Citations

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

Fields of papers citing papers by Prejesh Philips

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Prejesh Philips, 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 Prejesh Philips Line = papers co-authored together Prejesh Philips links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013110
2 2013100
3 201499
4 201661
5 201350
6 202047
7 201446
8 201038
9 201437
10 200633
11 201632
12 201930
13 202224
14 201724
15 201524
16 201523
17 201623
18 201823
19 201922
20 202122

About Prejesh Philips

Prejesh Philips is a scholar working on Oncology, Hepatology, Surgery, Biotechnology and Cancer Research, having authored 83 papers that have together received 1.3k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (16 papers), Microbial Inactivation Methods (12 papers), Pancreatic and Hepatic Oncology Research (8 papers), Cutaneous Melanoma Detection and Management (7 papers), Intraperitoneal and Appendiceal Malignancies (4 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (3 papers), Venous Thromboembolism Diagnosis and Management (2 papers) and Cancer Genomics and Diagnostics (2 papers). The work is most often cited by research in Biotechnology (410 citations), Hepatology (257 citations), Physiology (70 citations), Oncology (274 citations) and Surgery (296 citations). Prejesh Philips has collaborated with scholars based in United States, Belgium and India. Frequent co-authors include Robert C.G. Martin, Charles R. Scoggins, Kelly M. McMasters, Erik M. Dunki-Jacobs, Michael E. Egger, Neal Bhutiani, Jagdish Chander, Pawanindra Lal, V. K. Ramteke and Olaguoke Akinwande. Their work appears in journals such as The American Journal of Surgery, Annals of Surgical Oncology, Surgery, HPB and Journal of the American College of Surgeons.

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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