Hema Vasavada

25 total papers · 1.2k total citations
16 papers, 898 citations indexed

About

Hema Vasavada is a scholar working on Molecular Biology, Cell Biology and Immunology. According to data from OpenAlex, Hema Vasavada has authored 16 papers receiving a total of 898 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Cell Biology and 4 papers in Immunology. Recurrent topics in Hema Vasavada's work include Zebrafish Biomedical Research Applications (5 papers), Congenital heart defects research (3 papers) and Angiogenesis and VEGF in Cancer (2 papers). Hema Vasavada is often cited by papers focused on Zebrafish Biomedical Research Applications (5 papers), Congenital heart defects research (3 papers) and Angiogenesis and VEGF in Cancer (2 papers). Hema Vasavada collaborates with scholars based in United States, Germany and Canada. Hema Vasavada's co-authors include Karen K. Hirschi, Christopher S. Chen, Jeroen Eyckmans, William J. Polacheck, Jinling Yang, Matthew L. Kutys, Yinyu Wu, Süleyman Coşkun, Christine Wilson and Clifford W. Bogue and has published in prestigious journals such as Nature, Nature Communications and The Journal of Experimental Medicine.

In The Last Decade

Hema Vasavada

16 papers receiving 894 citations

Author Peers

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

Author Last Decade Papers Cites
Hema Vasavada 478 170 165 160 144 16 898
Sasidhar Vemula 467 1.0× 173 1.0× 150 0.9× 156 1.0× 95 0.7× 29 955
Yatin Patel 495 1.0× 192 1.1× 127 0.8× 90 0.6× 60 0.4× 23 981
Tami L. Bach 302 0.6× 156 0.9× 126 0.8× 80 0.5× 188 1.3× 12 704
M.H. Prandini 447 0.9× 166 1.0× 304 1.8× 108 0.7× 44 0.3× 13 800
June Rae Merwin 618 1.3× 102 0.6× 100 0.6× 102 0.6× 70 0.5× 19 1.0k
Jean‐Marie Daniel Lamazière 450 0.9× 93 0.5× 102 0.6× 74 0.5× 126 0.9× 22 1.0k
Kostandin V. Pajcini 491 1.0× 127 0.7× 102 0.6× 96 0.6× 93 0.6× 22 763
Sarah L. Tressel 474 1.0× 58 0.3× 123 0.7× 188 1.2× 151 1.0× 13 1.0k
Christiane Arnold 362 0.8× 195 1.1× 87 0.5× 115 0.7× 69 0.5× 20 915
B. V. Shekhonin 348 0.7× 127 0.7× 69 0.4× 131 0.8× 155 1.1× 27 976

Countries citing papers authored by Hema Vasavada

Since Specialization
Citations

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

Fields of papers citing papers by Hema Vasavada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hema Vasavada

This figure shows the co-authorship network connecting the top 25 collaborators of Hema Vasavada. A scholar is included among the top collaborators of Hema Vasavada 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 Hema Vasavada. Hema Vasavada 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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