Max Heckler

67 total papers · 1.2k total citations
30 papers, 485 citations indexed

About

Max Heckler is a scholar working on Oncology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Max Heckler has authored 30 papers receiving a total of 485 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Oncology, 19 papers in Surgery and 15 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Max Heckler's work include Pancreatic and Hepatic Oncology Research (21 papers), Pancreatitis Pathology and Treatment (12 papers) and Renal cell carcinoma treatment (7 papers). Max Heckler is often cited by papers focused on Pancreatic and Hepatic Oncology Research (21 papers), Pancreatitis Pathology and Treatment (12 papers) and Renal cell carcinoma treatment (7 papers). Max Heckler collaborates with scholars based in Germany, United States and Portugal. Max Heckler's co-authors include Thilo Hackert, Markus W. Büchler, Ulrike Heger, Masayuki Tanaka, André L. Mihaljević, Ulla Klaiber, Pascal Probst, Christoph Michalski, Jörg Kaiser and John P. Neoptolemos and has published in prestigious journals such as The Journal of Immunology, Annals of Surgery and British journal of surgery.

In The Last Decade

Max Heckler

26 papers receiving 481 citations

Author Peers

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

Author						Papers	Cites
Max Heckler	408	248	157	135	67	30	485
Laura R. Prakash	375 0.9×	180 0.7×	134 0.9×	101 0.7×	82 1.2×	49	454
Sergio Valeri	303 0.7×	222 0.9×	161 1.0×	56 0.4×	41 0.6×	38	477
F Mazzeo	219 0.5×	214 0.9×	183 1.2×	65 0.5×	59 0.9×	29	460
Caitlin A. McIntyre	362 0.9×	154 0.6×	90 0.6×	116 0.9×	80 1.2×	34	481
Jesse V. Groen	329 0.8×	224 0.9×	151 1.0×	81 0.6×	75 1.1×	30	455
Laith Abushahin	400 1.0×	127 0.5×	171 1.1×	74 0.5×	89 1.3×	30	488
Yu Noda	175 0.4×	163 0.7×	121 0.8×	160 1.2×	62 0.9×	40	529
Takuji Okusaka	255 0.6×	168 0.7×	92 0.6×	141 1.0×	48 0.7×	27	408
Huapyong Kang	242 0.6×	186 0.8×	175 1.1×	73 0.5×	83 1.2×	35	450
Jun Chul Chung	294 0.7×	231 0.9×	183 1.2×	96 0.7×	47 0.7×	32	541

Countries citing papers authored by Max Heckler

Since Specialization

Citations

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

Fields of papers citing papers by Max Heckler

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Max Heckler

This figure shows the co-authorship network connecting the top 25 collaborators of Max Heckler. A scholar is included among the top collaborators of Max Heckler 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 Heckler. Max Heckler 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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