Robert A. Figler

45 papers receiving 1.7k citations

Peers

Robert A. Figler
Comparison fields: 5 of 134
  • Physiology 428
  • Hepatology 124
  • Oncology 319
  • Genetics 101
  • Cellular and Molecular Neuroscience 178
Replace Fabrizio Condorelli with:
Fabrizio Condorelli Italy
Clifford S. Guy United States
Yijun Zeng China
Daniela Milani Italy
Joshua H. Lipschutz United States
Cecilia Rocchi Netherlands
Michael J. Edwards United States
Jeffrey Teckman United States
Simon Wilkinson United Kingdom
Delvac Oceandy United Kingdom
Robert A. Figler relative to Fabrizio Condorelli Italy Fabrizio Condorelli's profile →
Citations per field
00.5×4.3×
Fabrizio Condorelli · 1×
Citations per year

Countries citing papers authored by Robert A. Figler

Since Specialization
Citations

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

Fields of papers citing papers by Robert A. Figler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010157
2 2003140
3 2016123
4 2009118
5 2011107
6 2008105
7 200084
8 199282
9 200966
10 199255
11 199650
12 202048
13 201648
14 199042
15 199841
16 200436
17 201733
18 198932
19
Using the Critical Incident Technique to Determine Reasons for Success and Failure of University Students.
198730
20 199730

About Robert A. Figler

Robert A. Figler is a scholar working on Molecular Biology, Physiology, Oncology, Clinical Biochemistry and Cellular and Molecular Neuroscience, having authored 46 papers that have together received 1.8k indexed citations. Recurring topics across this work include Adenosine and Purinergic Signaling (10 papers), Metabolism and Genetic Disorders (6 papers), Receptor Mechanisms and Signaling (5 papers), Drug Transport and Resistance Mechanisms (5 papers), Neuropeptides and Animal Physiology (4 papers), Clostridium difficile and Clostridium perfringens research (3 papers), Diet, Metabolism, and Disease (3 papers) and Liver Disease Diagnosis and Treatment (3 papers). The work is most often cited by research in Physiology (428 citations), Hepatology (124 citations), Oncology (319 citations), Genetics (101 citations) and Cellular and Molecular Neuroscience (178 citations). Robert A. Figler has collaborated with scholars based in United States, Brazil and United Kingdom. Frequent co-authors include Joel Linden, Marwan K. Al‐Shawi, Hiroshi Omote, James C. Garrison, Stephen G. Graber, Brian R. Wamhoff, Ajit Dash, Jayson Rieger, Arun J. Sanyal and Stephen A. Hoang. Their work appears in journals such as Molecular Genetics and Metabolism, Journal of Biological Chemistry, BMC Infectious Diseases, Molecular Pharmacology and Biochemistry.

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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