Innocent B. Bekard

17 total papers · 718 total citations
12 papers, 497 citations indexed

About

Innocent B. Bekard is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Innocent B. Bekard has authored 12 papers receiving a total of 497 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 3 papers in Pulmonary and Respiratory Medicine and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Innocent B. Bekard's work include Protein Structure and Dynamics (6 papers), Protein purification and stability (4 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Innocent B. Bekard is often cited by papers focused on Protein Structure and Dynamics (6 papers), Protein purification and stability (4 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Innocent B. Bekard collaborates with scholars based in Australia, Singapore and Germany. Innocent B. Bekard's co-authors include Dave E. Dunstan, Joseph Bertolini, Chai Lean Teoh, Lee R. White, Geoffrey J. Howlett, Kevin J. Barnham, Tim Ryan, Sandra E. Kentish, Louis Fabri and Sally L. Gras and has published in prestigious journals such as Biochemistry, Biophysical Journal and International Journal of Biological Macromolecules.

In The Last Decade

Innocent B. Bekard

12 papers receiving 492 citations

Author Peers

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

Author Last Decade Papers Cites
Innocent B. Bekard 253 120 98 95 56 12 497
Filippo Pullara 320 1.3× 49 0.4× 80 0.8× 50 0.5× 17 0.3× 17 524
Vincent Vagenende 395 1.6× 66 0.6× 67 0.7× 22 0.2× 42 0.8× 9 577
Samir U. Sane 343 1.4× 61 0.5× 84 0.9× 18 0.2× 26 0.5× 9 520
Robert H. Walters 327 1.3× 32 0.3× 122 1.2× 34 0.4× 21 0.4× 8 489
Ganesh Vedantham 333 1.3× 82 0.7× 50 0.5× 27 0.3× 13 0.2× 11 520
Tracy J Worzella 255 1.0× 96 0.8× 23 0.2× 25 0.3× 17 0.3× 14 595
Leo J. Saidel 209 0.8× 53 0.4× 23 0.2× 28 0.3× 21 0.4× 16 526
Zai‐Qing Wen 404 1.6× 93 0.8× 40 0.4× 19 0.2× 26 0.5× 21 586
Zvi Er-el 412 1.6× 73 0.6× 40 0.4× 30 0.3× 55 1.0× 9 602
François‐Xavier Gallat 279 1.1× 93 0.8× 27 0.3× 51 0.5× 12 0.2× 12 453

Countries citing papers authored by Innocent B. Bekard

Since Specialization
Citations

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

Fields of papers citing papers by Innocent B. Bekard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Innocent B. Bekard. 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 Innocent B. Bekard. The network helps show where Innocent B. Bekard may publish in the future.

Co-authorship network of co-authors of Innocent B. Bekard

This figure shows the co-authorship network connecting the top 25 collaborators of Innocent B. Bekard. A scholar is included among the top collaborators of Innocent B. Bekard 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 Innocent B. Bekard. Innocent B. Bekard 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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