Arvind P. Pathak

4.5k citations
92 papers · 2.8k · h-index 30

Impact in

Papers in

Arvind P. Pathak

87 papers receiving 2.8k citations

Peers

Arvind P. Pathak
Comparison fields: 5 of 128
  • Radiology, Nuclear Medicine and Imaging 1.0k
  • Cancer Research 422
  • Genetics 240
  • Modeling and Simulation 84
  • Biophysics 99
Replace Andreas Wunder with:
Andreas Wunder Germany
H Reinhold Netherlands
Bachchu Lal United States
Simon Walker‐Samuel United Kingdom
Nathaniel D. Kirkpatrick United States
Chantal Rémy France
Kyrre E. Emblem Norway
Peter Sminia Netherlands
Robert Rostomily United States
Yotaro Izumi Japan
Arvind P. Pathak relative to Andreas Wunder Germany Andreas Wunder's profile →
Citations per field
00.5×3.4×
Andreas Wunder · 1×
Citations per year

Countries citing papers authored by Arvind P. Pathak

Since Specialization
Citations

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

Fields of papers citing papers by Arvind P. Pathak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arvind P. Pathak. 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 Arvind P. Pathak. The network helps show where Arvind P. Pathak may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005247
2 2003242
3 2000211
4
Characterization of a first-pass gradient-echo spin-echo method to predict brain tumor grade and angiogenesis.
2004168
5 2001107
6 201779
7 200877
8 200471
9 200769
10 201367
11 201965
12 201663
13 201162
14 200359
15 200658
16 200552
17 201252
18 200851
19 200346
20 201046

About Arvind P. Pathak

Arvind P. Pathak is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Biomedical Engineering, Cancer Research and Surgery, having authored 92 papers that have together received 2.8k indexed citations. Recurring topics across this work include MRI in cancer diagnosis (27 papers), Advanced MRI Techniques and Applications (19 papers), Optical Imaging and Spectroscopy Techniques (11 papers), Angiogenesis and VEGF in Cancer (10 papers), Cancer, Hypoxia, and Metabolism (10 papers), Traumatic Brain Injury and Neurovascular Disturbances (7 papers), Lanthanide and Transition Metal Complexes (7 papers) and Advanced Neuroimaging Techniques and Applications (6 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.0k citations), Cancer Research (422 citations), Genetics (240 citations), Modeling and Simulation (84 citations) and Biophysics (99 citations). Arvind P. Pathak has collaborated with scholars based in United States, Norway and Germany. Frequent co-authors include Zaver M. Bhujwalla, Kristine Glunde, Kathleen M. Schmainda, Dmitri Artemov, Scott D. Rand, Eugene Kim, B. Douglas Ward, Venu Raman, Meiyappan Solaiyappan and Nitish V. Thakor. Their work appears in journals such as Cancer Research, Magnetic Resonance in Medicine, Angiogenesis, PLoS ONE and Microvascular Research.

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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