Henry A. Gabb

27 papers receiving 1.6k citations

Hit Papers

Modelling protein docking using shape complementarity, el...19972026200620161997200400600

Peers

Henry A. Gabb
Comparison fields: 5 of 115
  • Molecular Biology 1.4k
  • Materials Chemistry 469
  • Computational Theory and Mathematics 438
  • Radiology, Nuclear Medicine and Imaging 105
  • Oncology 91
Replace Chaya Stern with:
Chaya Stern United States
Yutong Zhao China
Carlos X. Hernández United States
Andrew M. Wollacott United States
Ángel R. Ortíz Spain
Stewart A. Adcock United States
Noriaki Okimoto Japan
Inbal Halperin United States
Rafaël Najmanovich Canada
V. M. Sobolev Israel
Henry A. Gabb relative to Chaya Stern United States Chaya Stern's profile →
Citations per field
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Chaya Stern · 1×
Citations per year

Countries citing papers authored by Henry A. Gabb

Since Specialization
Citations

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

Fields of papers citing papers by Henry A. Gabb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Henry A. Gabb. 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 Henry A. Gabb. The network helps show where Henry A. Gabb may publish in the future.

Co-authorship network of co-authors of Henry A. Gabb

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 27
3 4
4
A Method to Automatically Identify the Results from Journal Articles
3
5 1
6 17
7 33
8 217
9 201
10 94
11
A computational system for modelling flexible protein-protein and protein-DNA docking.
8
12 43
13 178
14 9
15
Modelling protein docking using shape complementarity, electrostatics and biochemical information 1 1Edited by J. Thorntonbreakdown →
634
16 23
17 27
18 14
19 4
20 1

About Henry A. Gabb

Henry A. Gabb is a scholar working on Chemical Health and Safety, Hardware and Architecture and Molecular Biology, having authored 28 papers that have together received 1.6k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (9 papers), DNA and Nucleic Acid Chemistry (9 papers) and RNA and protein synthesis mechanisms (9 papers). The work is most often cited by research in Computational Theory and Mathematics (438 citations), Molecular Biology (1.4k citations) and Materials Chemistry (469 citations). Henry A. Gabb has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Michael J.E. Sternberg, Richard M. Jackson, Pavel Hobza, Jiřı́ Šponer, Jerzy Leszczyński, Stephen C. Harvey, Catherine Blake, Chantal Prévost, Francesc Avilés and Patrick Aloy. Their work appears in journals such as Journal of the American Chemical Society, Journal of Molecular Biology and Environmental Health Perspectives.

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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