Suraj Kumar

21 papers receiving 259 citations

Peers

Suraj Kumar
Comparison fields: 5 of 105
  • Modeling and Simulation 25
  • Water Science and Technology 41
  • Environmental Engineering 40
  • Cognitive Neuroscience 47
  • Global and Planetary Change 46
Replace Andrea Tateo with:
Andrea Tateo Italy
Raghav Saboo United States
Antonio Canale Italy
Mohammad Hadi Fattahi Iran
Subhasis Ray India
Bonan Li United States
M. Miklin Halstead New Zealand
Reggio N. Hartono Indonesia
Xu He China
Lin Gan China
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Citations per field
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Citations per year

Countries citing papers authored by Suraj Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Suraj Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202047
2 201947
3 202334
4 202026
5 202024
6 202218
7 202115
8 20238
9 20248
10 20218
11 20175
12 20254
13 20163
14 20213
15
Optical microscopy methods for understanding learning and memory
20132
16
Influence of different summer green manures on rice -wheat yield, nutrient uptake and soil characteristics
20102
17 20242
18
THE CYTOLOGIC DEMONSTRATION OF CERTAIN ENZYMES IN SUBCOMMISSURAL ORGAN OF GOAT
19971
19
Structural and histochemical study of the subcommissural organ in sheep
20021
20 20191

About Suraj Kumar

Suraj Kumar is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Artificial Intelligence and Global and Planetary Change, having authored 23 papers that have together received 260 indexed citations. Recurring topics across this work include Memory and Neural Mechanisms (4 papers), Neuroscience and Neuropharmacology Research (4 papers), Hydrology and Drought Analysis (3 papers), Advanced Fluorescence Microscopy Techniques (2 papers), Receptor Mechanisms and Signaling (2 papers), Advanced X-ray Imaging Techniques (1 paper), Electron and X-Ray Spectroscopy Techniques (1 paper) and COVID-19 diagnosis using AI (1 paper). The work is most often cited by research in Modeling and Simulation (25 citations), Water Science and Technology (41 citations), Environmental Engineering (40 citations), Cognitive Neuroscience (47 citations) and Global and Planetary Change (46 citations). Suraj Kumar has collaborated with scholars based in India, United States and Singapore. Frequent co-authors include Thendiyath Roshni, Manish Kumar Bajpai, Koushlendra Kumar Singh, J. Balaji, Ercan Kahya, Mohammad Ali Ghorbani, Alessandra Bonito‐Oliva, Marios Antonakakis, Praveen Sethupathy and Vikram Singh. Their work appears in journals such as Cell, Cell Reports, International Journal of Environmental Research and Public Health, Journal of Water and Health and Frontiers in Behavioral Neuroscience.

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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