Priya Khandelwal

412 total citations · 1 hit paper
6 papers, 216 citations indexed

About

Priya Khandelwal is a scholar working on Materials Chemistry, Organic Chemistry and Computer Networks and Communications. According to data from OpenAlex, Priya Khandelwal has authored 6 papers receiving a total of 216 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Materials Chemistry, 1 paper in Organic Chemistry and 1 paper in Computer Networks and Communications. Recurrent topics in Priya Khandelwal's work include Hydrogen Storage and Materials (3 papers), IoT and Edge/Fog Computing (1 paper) and Superconductivity in MgB2 and Alloys (1 paper). Priya Khandelwal is often cited by papers focused on Hydrogen Storage and Materials (3 papers), IoT and Edge/Fog Computing (1 paper) and Superconductivity in MgB2 and Alloys (1 paper). Priya Khandelwal collaborates with scholars based in India, Japan and United States. Priya Khandelwal's co-authors include Olivier Gevaert, Sandra Steyaert, Marija Pizurica, Andrew J. Gentles, Tina Hernandez‐Boussard, Guadalupe C. García, Christopher T. Lee, Guy Perkins, Donald Spencer and Emily Liu and has published in prestigious journals such as The Journal of Comparative Neurology, International Journal of Hydrogen Energy and Journal of Energy Storage.

In The Last Decade

Priya Khandelwal

6 papers receiving 210 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Multimodal data fusion for cancer biomarker discovery with deep learning

2023 165 citations Sandra Steyaert, Marija Pizurica et al. Nature Machine Intelligence profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Priya Khandelwal India	5	59	57	53	26	21	6	216
Marija Pizurica United States	5	47 0.8×	66 1.2×	57 1.1×	21 0.8×	21 1.0×	6	202
Clemens P. Spielvogel Austria	8	30 0.5×	64 1.1×	95 1.8×	34 1.3×	51 2.4×	30	223
Deepak Anand India	7	38 0.6×	111 1.9×	108 2.0×	20 0.8×	13 0.6×	15	199
Jeremy Wohlwend United States	7	42 0.7×	70 1.2×	90 1.7×	25 1.0×	73 3.5×	11	221
Qianye Yang United Kingdom	11	64 1.1×	74 1.3×	118 2.2×	43 1.7×	62 3.0×	21	318
Yaman Afadar United Arab Emirates	5	46 0.8×	163 2.9×	89 1.7×	20 0.8×	14 0.7×	9	254
Chenglu Zhu China	7	35 0.6×	45 0.8×	26 0.5×	8 0.3×	19 0.9×	18	215
Sheeba J. Sujit United States	7	27 0.5×	50 0.9×	117 2.2×	48 1.8×	31 1.5×	10	304
Pushpak Pati Switzerland	9	30 0.5×	166 2.9×	101 1.9×	31 1.2×	12 0.6×	20	237
Jing Jiao China	12	206 3.5×	83 1.5×	94 1.8×	41 1.6×	16 0.8×	32	408

Countries citing papers authored by Priya Khandelwal

Since Specialization

Citations

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

Fields of papers citing papers by Priya Khandelwal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Priya Khandelwal

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

All Works

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6 of 6 papers shown

1.

Saini, Sanjay, Priya Khandelwal, Hiroki Miyaoka, et al.. (2025). Catalytic alteration in hydrogen storage properties of MgH2 by adding CaTiO3. Journal of Energy Storage. 132. 117958–117958. 3 indexed citations

2.

Khandelwal, Priya, Shivani Agarwal, Fateh Singh Gill, et al.. (2024). Core-shell structured Ni@C based additive for magnesium hydride system towards efficient hydrogen sorption kinetics. International Journal of Hydrogen Energy. 107. 74–82. 4 indexed citations

3.

Khandelwal, Priya, et al.. (2024). Copper oxide – PANI derived novel composites for the kinetic tuning of MgH2. International Journal of Hydrogen Energy. 137. 1057–1063. 5 indexed citations

4.

Khandelwal, Priya, et al.. (2023). Augmenting digital twins with federated learning in medicine. The Lancet Digital Health. 5(5). e251–e253. 14 indexed citations

5.

Steyaert, Sandra, Marija Pizurica, Priya Khandelwal, et al.. (2023). Multimodal data fusion for cancer biomarker discovery with deep learning. Nature Machine Intelligence. 5(4). 351–362. 165 indexed citations breakdown →

6.

García, Guadalupe C., Thomas M. Bartol, Christopher T. Lee, et al.. (2021). Morphological principles of neuronal mitochondria. The Journal of Comparative Neurology. 530(6). 886–902. 25 indexed citations

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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