Krishna Juluru

3.4k citations
50 papers · 1.3k · h-index 19

Impact in

Papers in

Krishna Juluru

50 papers receiving 1.2k citations

Peers

Krishna Juluru
Comparison fields: 5 of 131
  • Health Informatics 89
  • Pharmacology 305
  • Internal Medicine 64
  • Hepatology 130
  • Radiology, Nuclear Medicine and Imaging 365
Replace John J. Smith with:
John J. Smith United States
Benedikt J. Braun Germany
Xiaoguang Cheng China
Salvatore Gitto Italy
Jeroen C. van Rijn Netherlands
Catherine C. Roberts United States
Jennifer Bullen United States
Frédérique Gandjbakhch France
Katrin Jensen Germany
Bu‐Lang Gao China
Krishna Juluru relative to John J. Smith United States John J. Smith's profile →
Citations per field
00.5×10×15×18.6×
John J. Smith · 1×
Citations per year

Countries citing papers authored by Krishna Juluru

Since Specialization
Citations

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

Fields of papers citing papers by Krishna Juluru

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999234
2 1999155
3 200382
4 202066
5 200459
6 202151
7 201749
8 201048
9 201148
10 200845
11 202139
12 202238
13 201531
14 202128
15 201327
16 201625
17 201922
18 201322
19 201122
20 202216

About Krishna Juluru

Krishna Juluru is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Biomedical Engineering, Surgery and Public Health, Environmental and Occupational Health, having authored 50 papers that have together received 1.3k indexed citations. Recurring topics across this work include Radiology practices and education (8 papers), Radiomics and Machine Learning in Medical Imaging (8 papers), Hepatocellular Carcinoma Treatment and Prognosis (5 papers), Advanced MRI Techniques and Applications (5 papers), Anatomy and Medical Technology (4 papers), MRI in cancer diagnosis (4 papers), Venous Thromboembolism Diagnosis and Management (4 papers) and Liver Disease Diagnosis and Treatment (4 papers). The work is most often cited by research in Health Informatics (89 citations), Pharmacology (305 citations), Internal Medicine (64 citations), Hepatology (130 citations) and Radiology, Nuclear Medicine and Imaging (365 citations). Krishna Juluru has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Jacek Cholewicki, Stuart M. McGill, Andrea Radebold, Manohar M. Panjabi, David R. Marker, Donna Magid, Eliot L. Siegel, Elliot K. Fishman, Pierre Elnajjar and Karen M. Horton. Their work appears in journals such as American Journal of Roentgenology, Academic Radiology, Journal of Digital Imaging, Radiology and CardioVascular and Interventional Radiology.

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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