Max Wilberding

486 total citations · 1 hit paper
5 papers, 324 citations indexed

About

Max Wilberding is a scholar working on Surgery, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Max Wilberding has authored 5 papers receiving a total of 324 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Surgery, 3 papers in Molecular Biology and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Max Wilberding's work include Fibroblast Growth Factor Research (3 papers), Enhanced Recovery After Surgery (2 papers) and Cardiac, Anesthesia and Surgical Outcomes (2 papers). Max Wilberding is often cited by papers focused on Fibroblast Growth Factor Research (3 papers), Enhanced Recovery After Surgery (2 papers) and Cardiac, Anesthesia and Surgical Outcomes (2 papers). Max Wilberding collaborates with scholars based in United States. Max Wilberding's co-authors include Julie W. Reeser, Hui‐Zi Chen, Sameek Roychowdhury, Melanie A. Krook, Gary Li, Gabrielle Ernst, Amy Smith, Kristen K. Ciombor, Aharon G. Freud and Michele R. Wing and has published in prestigious journals such as SHILAP Revista de lepidopterología, British Journal of Cancer and Molecular Cancer Therapeutics.

In The Last Decade

Max Wilberding

5 papers receiving 321 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.

Fibroblast growth factor receptors in cancer: genetic alterations, diagnostics, therapeutic targets and mechanisms of resistance

2020 213 citations Melanie A. Krook, Julie W. Reeser et al. British Journal of Cancer profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Max Wilberding United States	3	226	139	101	48	47	5	324
Akihiro Miura Japan	10	200 0.9×	101 0.7×	126 1.2×	79 1.6×	51 1.1×	36	354
Hidenori Fujita Japan	8	171 0.8×	65 0.5×	105 1.0×	54 1.1×	47 1.0×	18	283
Gabrielle Ernst United States	4	186 0.8×	65 0.5×	72 0.7×	33 0.7×	27 0.6×	5	298
J. Schwarz Germany	7	165 0.7×	60 0.4×	61 0.6×	69 1.4×	17 0.4×	9	308
Kenta Mukaihara Japan	11	112 0.5×	54 0.4×	92 0.9×	139 2.9×	40 0.9×	27	296
Songwang Cai China	13	315 1.4×	80 0.6×	154 1.5×	66 1.4×	22 0.5×	33	516
Martine Périgny Canada	8	79 0.3×	75 0.5×	116 1.1×	97 2.0×	35 0.7×	12	259
Katherine Al-Kadhimi United Kingdom	3	387 1.7×	33 0.2×	73 0.7×	74 1.5×	47 1.0×	3	447
Frances M. Martin United States	8	215 1.0×	136 1.0×	162 1.6×	158 3.3×	15 0.3×	13	460
David Hernández‐Barajas Mexico	8	140 0.6×	52 0.4×	135 1.3×	157 3.3×	25 0.5×	26	322

Countries citing papers authored by Max Wilberding

Since Specialization

Citations

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

Fields of papers citing papers by Max Wilberding

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Max Wilberding

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

All Works

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5 of 5 papers shown

1.

Wilberding, Max, Audra J. Reiter, Gwyneth A. Sullivan, et al.. (2024). Fidelity of Enhanced Recovery Protocol Implementation With Assessment of Hospital-Specific Materials. Journal of Surgical Research. 302. 469–475. 1 indexed citations

2.

Balbale, Salva, Teaniese L. Davis, Sarah Blake, et al.. (2023). A mixed-method approach to generate and deliver rapid-cycle evaluation feedback: lessons learned from a multicenter implementation trial in pediatric surgery. SHILAP Revista de lepidopterología. 4(1). 82–82. 3 indexed citations

3.

Krook, Melanie A., Max Wilberding, Kelly M. Bailey, et al.. (2020). Efficacy of FGFR Inhibitors and Combination Therapies for Acquired Resistance in FGFR2-Fusion Cholangiocarcinoma. Molecular Cancer Therapeutics. 19(3). 847–857. 106 indexed citations

4.

Krook, Melanie A., Julie W. Reeser, Gabrielle Ernst, et al.. (2020). Fibroblast growth factor receptors in cancer: genetic alterations, diagnostics, therapeutic targets and mechanisms of resistance. British Journal of Cancer. 124(5). 880–892. 213 indexed citations breakdown →

5.

Krook, Melanie A., Max Wilberding, Hui‐Zi Chen, et al.. (2019). Abstract 335: Efficacy of FGFR inhibitors and combination therapies for acquired resistance in FGFR2-fusion cholangiocarcinoma. 335–335. 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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