Heena Kumra

102 total papers · 599 total citations
19 papers, 375 citations indexed

About

Heena Kumra is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Heena Kumra has authored 19 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Genetics and 6 papers in Oncology. Recurrent topics in Heena Kumra's work include Connective tissue disorders research (7 papers), Cell Adhesion Molecules Research (5 papers) and Cancer Immunotherapy and Biomarkers (5 papers). Heena Kumra is often cited by papers focused on Connective tissue disorders research (7 papers), Cell Adhesion Molecules Research (5 papers) and Cancer Immunotherapy and Biomarkers (5 papers). Heena Kumra collaborates with scholars based in Canada, United States and Switzerland. Heena Kumra's co-authors include Dieter P. Reinhardt, Daniele Pezzoli, Diego Mantovani, Gabriele Candiani, Giulia R. Fois, Hiromi Yanagisawa, Jürgen Brinckmann, Takao Sakai, Laetitia Sabatier and Jelena Djokić and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Immunity and Biomaterials.

In The Last Decade

Heena Kumra

18 papers receiving 373 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Heena Kumra 105 104 73 71 68 19 375
D. Daga‐Gordini 205 2.0× 101 1.0× 99 1.4× 150 2.1× 66 1.0× 15 431
Maria Mitsi 36 0.3× 157 1.5× 161 2.2× 75 1.1× 57 0.8× 16 422
Simonetta Bernocco 76 0.7× 174 1.7× 39 0.5× 80 1.1× 26 0.4× 13 399
Margaret T. Armstrong 44 0.4× 161 1.5× 54 0.7× 40 0.6× 30 0.4× 22 357
G Bellon 32 0.3× 100 1.0× 32 0.4× 67 0.9× 26 0.4× 16 352
V. S. Rukosuev 53 0.5× 101 1.0× 101 1.4× 84 1.2× 33 0.5× 24 390
Shrikant B. Mali 58 0.6× 159 1.5× 27 0.4× 33 0.5× 35 0.5× 23 353
Maria Luisa D’Angelo 34 0.3× 224 2.2× 37 0.5× 118 1.7× 48 0.7× 12 442
Brent Pfeiffer 127 1.2× 67 0.6× 23 0.3× 30 0.4× 23 0.3× 18 354
Hideo Shikata 130 1.2× 150 1.4× 63 0.9× 70 1.0× 11 0.2× 21 398

Countries citing papers authored by Heena Kumra

Since Specialization
Citations

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

Fields of papers citing papers by Heena Kumra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heena Kumra

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

All Works

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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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