Vaibhav Janve

1.1k total citations
13 papers, 744 citations indexed

About

Vaibhav Janve is a scholar working on Radiology, Nuclear Medicine and Imaging, Orthopedics and Sports Medicine and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Vaibhav Janve has authored 13 papers receiving a total of 744 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Orthopedics and Sports Medicine and 3 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Vaibhav Janve's work include Advanced Neuroimaging Techniques and Applications (10 papers), Advanced MRI Techniques and Applications (8 papers) and Bone and Joint Diseases (5 papers). Vaibhav Janve is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (10 papers), Advanced MRI Techniques and Applications (8 papers) and Bone and Joint Diseases (5 papers). Vaibhav Janve collaborates with scholars based in United States and Netherlands. Vaibhav Janve's co-authors include Adam W. Anderson, Kurt G. Schilling, Yurui Gao, Iwona Stepniewska, Bennett A. Landman, Manish Arora, Claus‐Dieter Ohl, Rory Dijkink, Detlef Lohse and Colin B. Hansen and has published in prestigious journals such as Applied Physics Letters, NeuroImage and Magnetic Resonance in Medicine.

In The Last Decade

Vaibhav Janve

13 papers receiving 732 citations

Peers

Countries citing papers authored by Vaibhav Janve

Since Specialization

Citations

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

Fields of papers citing papers by Vaibhav Janve

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vaibhav Janve

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

All Works

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13 of 13 papers shown

#	Work	Indexed citations
1	RNASE6 is a novel modifier of APOE-ε4 effects on cognition 2022 ·Neurobiology of Aging ·Mabel Seto, Rebecca L. Weiner, Logan Dumitrescu, Emily R. Mahoney, (unknown), Vaibhav Janve, (unknown), Dandan Liu, Yanling Wang, Vilas Menon, Philip L. De Jager, Julie A. Schneider, David A. Bennett, Katherine A. Gifford, Angela L. Jefferson, Timothy J. Hohman	8
2	Evaluation of Sex-Aware PrediXcan Models for Predicting Gene Expression 2021 ·Emily R. Mahoney, Vaibhav Janve, Timothy J. Hohman, Logan Dumitrescu	2
3	Deep learning reveals untapped information for local white-matter fiber reconstruction in diffusion-weighted MRI 2019 ·Magnetic Resonance Imaging ·Vishwesh Nath, Kurt G. Schilling, Prasanna Parvathaneni, Colin B. Hansen, (unknown), Yuankai Huo, Justin A. Blaber, Ilwoo Lyu, Vaibhav Janve, Yurui Gao, Iwona Stepniewska, Adam W. Anderson, Bennett A. Landman	23
4	Histologically derived fiber response functions for diffusion MRI vary across white matter fibers—An ex vivo validation study in the squirrel monkey brain 2019 ·NMR in Biomedicine ·Kurt G. Schilling, Yurui Gao, Iwona Stepniewska, Vaibhav Janve, Bennett A. Landman, Adam W. Anderson	14
5	Spin‐lock imaging of intrinsic susceptibility gradients in tumors 2019 ·Magnetic Resonance in Medicine ·Zhongliang Zu, Vaibhav Janve, John C. Gore	4
6	A Web-Based Atlas Combining MRI and Histology of the Squirrel Monkey Brain 2018 ·Neuroinformatics ·Kurt G. Schilling, Yurui Gao, Matthew Christian, Vaibhav Janve, Iwona Stepniewska, Bennett A. Landman, Adam W. Anderson	9
7	Anatomical accuracy of standard-practice tractography algorithms in the motor system - A histological validation in the squirrel monkey brain 2018 ·Magnetic Resonance Imaging ·Kurt G. Schilling, Yurui Gao, Iwona Stepniewska, Vaibhav Janve, Bennett A. Landman, Adam W. Anderson	22
8	Histological validation of diffusion MRI fiber orientation distributions and dispersion 2017 ·NeuroImage ·Kurt G. Schilling, Vaibhav Janve, Yurui Gao, Iwona Stepniewska, Bennett A. Landman, Adam W. Anderson	134
9	Can increased spatial resolution solve the crossing fiber problem for diffusion MRI? 2017 ·NMR in Biomedicine ·Kurt G. Schilling, Yurui Gao, Vaibhav Janve, Iwona Stepniewska, Bennett A. Landman, Adam W. Anderson	64
10	Confirmation of a gyral bias in diffusion MRI fiber tractography 2017 ·Human Brain Mapping ·Kurt G. Schilling, Yurui Gao, Vaibhav Janve, Iwona Stepniewska, Bennett A. Landman, Adam W. Anderson	93
11	Comparison of 3D orientation distribution functions measured with confocal microscopy and diffusion MRI 2016 ·NeuroImage ·Kurt G. Schilling, Vaibhav Janve, Yurui Gao, Iwona Stepniewska, Bennett A. Landman, Adam W. Anderson	72
12	Integrating histology and MRI in the first digital brain of common squirrel monkey, Saimiri sciureus 2015 ·PubMed ·(unknown), Prasanna Parvathaneni, (unknown), (unknown), Kurt G. Schilling, (unknown), Vaibhav Janve	5
13	Surface cleaning from laser-induced cavitation bubbles 2006 ·Applied Physics Letters ·Claus‐Dieter Ohl, Manish Arora, Rory Dijkink, Vaibhav Janve, Detlef Lohse	294

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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