John P. Bida

4.8k total citations · 1 hit paper
15 papers, 3.4k citations indexed

About

John P. Bida is a scholar working on Molecular Biology, Epidemiology and Hepatology. According to data from OpenAlex, John P. Bida has authored 15 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Epidemiology and 4 papers in Hepatology. Recurrent topics in John P. Bida's work include Liver Disease Diagnosis and Treatment (3 papers), RNA Research and Splicing (3 papers) and Multiple Myeloma Research and Treatments (2 papers). John P. Bida is often cited by papers focused on Liver Disease Diagnosis and Treatment (3 papers), RNA Research and Splicing (3 papers) and Multiple Myeloma Research and Treatments (2 papers). John P. Bida collaborates with scholars based in United States, United Kingdom and Australia. John P. Bida's co-authors include Terry M. Therneau, Paul Angulo, Keith D. Lindor, Sushma Saksena, Schuyler O. Sanderson, Jacob George, Geoffrey C. Farrell, Marco Lenzi, Leon A. Adams and Giulio Marchesini and has published in prestigious journals such as Nucleic Acids Research, Blood and Gastroenterology.

In The Last Decade

John P. Bida

15 papers receiving 3.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The NAFLD fibrosis score

2007 2.3k citations Paul Angulo, Jason M. Hui et al. Hepatology profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
John P. Bida United States	12	2.5k	1.4k	859	538	424	15	3.4k
F. Rosina Italy	30	2.4k 1.0×	2.1k 1.5×	528 0.6×	666 1.2×	203 0.5×	111	3.4k
Caroline Fung Australia	19	1.5k 0.6×	719 0.5×	590 0.7×	1.7k 3.1×	289 0.7×	35	4.5k
David Buob France	27	1.3k 0.5×	411 0.3×	600 0.7×	867 1.6×	487 1.1×	129	3.3k
Pierre Deltenre Belgium	34	3.2k 1.3×	2.3k 1.6×	530 0.6×	984 1.8×	1.3k 3.1×	123	4.3k
Kota Fujii Japan	11	1.4k 0.6×	506 0.4×	766 0.9×	274 0.5×	358 0.8×	32	1.8k
Filippo Schepis Italy	30	1.7k 0.7×	2.1k 1.5×	96 0.1×	815 1.5×	298 0.7×	73	3.2k
Philip Kaye United Kingdom	26	1.0k 0.4×	414 0.3×	457 0.5×	1.1k 2.1×	324 0.8×	86	2.6k
George A. Bannayan United States	17	1.2k 0.5×	332 0.2×	801 0.9×	401 0.7×	323 0.8×	27	2.1k
Giancarlo Roviaro Italy	32	1.3k 0.5×	337 0.2×	550 0.6×	1.2k 2.3×	178 0.4×	74	3.1k
Lionel Rabin United States	19	902 0.4×	932 0.7×	158 0.2×	853 1.6×	580 1.4×	30	2.4k

Countries citing papers authored by John P. Bida

Since Specialization

Citations

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

Fields of papers citing papers by John P. Bida

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John P. Bida. 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 John P. Bida. The network helps show where John P. Bida may publish in the future.

Co-authorship network of co-authors of John P. Bida

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

All Works

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15 of 15 papers shown

McDonald, Robert J., Jennifer S. McDonald, John P. Bida, et al.. (2013). Intravenous Contrast Material–induced Nephropathy: Causal or Coincident Phenomenon?. Radiology. 267(1). 106–118. 275 indexed citations

Seetin, Matthew G., Wipapat Kladwang, John P. Bida, & Rhiju Das. (2013). Massively Parallel RNA Chemical Mapping with a Reduced Bias MAP-Seq Protocol. Methods in molecular biology. 1086. 95–117. 49 indexed citations

Bancos, Irina, John P. Bida, Defeng Tian, et al.. (2013). High-Throughput Screening for Growth Inhibitors Using a Yeast Model of Familial Paraganglioma. PLoS ONE. 8(2). e56827–e56827. 15 indexed citations

Bida, John P. & L. James Maher. (2012). Improved prediction of RNA tertiary structure with insights into native state dynamics. RNA. 18(3). 385–393. 22 indexed citations

McDonald, R.J., Jennifer S. McDonald, John P. Bida, David F. Kallmes, & Harry J. Cloft. (2012). Subarachnoid Hemorrhage Incidence in the United States Does Not Vary with Season or Temperature. American Journal of Neuroradiology. 33(9). 1663–1668. 41 indexed citations

Bida, John P., et al.. (2009). Characterization of anti-NF-κB RNA aptamer-binding specificity in vitro and in the yeast three-hybrid system. Nucleic Acids Research. 37(18). 6214–6224. 24 indexed citations

Bida, John P., Robert A. Kyle, Terry M. Therneau, et al.. (2009). Disease Associations With Monoclonal Gammopathy of Undetermined Significance: A Population-Based Study of 17,398 Patients. Mayo Clinic Proceedings. 84(8). 685–693. 129 indexed citations

Bhattacharya, Resham, Junhye Kwon, Xiujuan Li, et al.. (2009). Distinct role of PLCβ3 in VEGF-mediated directional migration and vascular sprouting. Journal of Cell Science. 122(7). 1025–1034. 52 indexed citations

Baskin-Bey, Edwina, Charmaine A. Stewart, Mary M. Mitchell, et al.. (2008). Preliminary report of the Hepatic Encephalopathy Assessment Driving Simulator (HEADS) score.. PubMed. 18(3). 357–64. 4 indexed citations

10.

Angulo, Paul, Jason M. Hui, Giulio Marchesini, et al.. (2007). The NAFLD fibrosis score. Hepatology. 45(4). 846–854. 2343 indexed citations breakdown →

11.

Leerapun, Apinya, John P. Bida, Raynell Clark, et al.. (2007). The Utility of Lens Culinaris Agglutinin-Reactive α-Fetoprotein in the Diagnosis of Hepatocellular Carcinoma: Evaluation in a United States Referral Population. Clinical Gastroenterology and Hepatology. 5(3). 394–402. 100 indexed citations

12.

Velayos, Fernando, Edward V. Loftus, Tine Jess, et al.. (2006). Predictive and Protective Factors Associated With Colorectal Cancer in Ulcerative Colitis: A Case-Control Study. Gastroenterology. 130(7). 1941–1949. 265 indexed citations

13.

Nyberg, Scott L., Edwina Baskin-Bey, Mary M. Mitchell, et al.. (2006). Early experience with HEADS: Hepatic encephalopathy assessment driving simulator. 53–62. 4 indexed citations

14.

Dingli, David, Robert A. Kyle, S. Vincent Rajkumar, et al.. (2006). Immunoglobulin free light chains and solitary plasmacytoma of bone. Blood. 108(6). 1979–1983. 101 indexed citations

15.

Dingli, David, Robert A. Kyle, S. Vincent Rajkumar, et al.. (2005). Immunoglobulin Free Light Chains at Diagnosis: Predictors of Progression and Survival in Solitary Plasmacytoma of Bone.. Blood. 106(11). 5080–5080. 1 indexed citations

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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