Max S. Topp

69 total papers · 6.1k total citations
36 papers, 1.3k citations indexed

About

Max S. Topp is a scholar working on Pathology and Forensic Medicine, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Max S. Topp has authored 36 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Pathology and Forensic Medicine, 15 papers in Oncology and 10 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Max S. Topp's work include Lymphoma Diagnosis and Treatment (22 papers), Chronic Lymphocytic Leukemia Research (9 papers) and Acute Lymphoblastic Leukemia research (8 papers). Max S. Topp is often cited by papers focused on Lymphoma Diagnosis and Treatment (22 papers), Chronic Lymphocytic Leukemia Research (9 papers) and Acute Lymphoblastic Leukemia research (8 papers). Max S. Topp collaborates with scholars based in Germany, United States and Switzerland. Max S. Topp's co-authors include Andreas Engert, Peter Borchmann, Hermann Einsele, Bastian von Tresckow, Johannes Duell, Dennis A. Eichenauer, Georg Kuhnert, Gerhard Zugmaier, Markus Dietlein and Michael Fuchs and has published in prestigious journals such as New England Journal of Medicine, Journal of Clinical Oncology and Blood.

In The Last Decade

Max S. Topp

35 papers receiving 1.2k citations

Hit Papers

Anti–B-Cell Maturation An... 2020 2026 2022 2024 2020 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Max S. Topp 790 478 357 331 296 36 1.3k
Wolfram Jung 820 1.0× 821 1.7× 256 0.7× 489 1.5× 316 1.1× 41 1.7k
Richard Noppeney 708 0.9× 200 0.4× 290 0.8× 343 1.0× 357 1.2× 31 1.3k
Johannes Duell 1.3k 1.6× 563 1.2× 503 1.4× 413 1.2× 432 1.5× 72 1.7k
Stephanie Sasse 816 1.0× 746 1.6× 105 0.3× 623 1.9× 249 0.8× 48 1.6k
Richard Delarue 613 0.8× 914 1.9× 191 0.5× 207 0.6× 228 0.8× 47 1.2k
Majid Kazmi 419 0.5× 445 0.9× 557 1.6× 278 0.8× 370 1.3× 39 1.4k
Philippe Quittet 501 0.6× 331 0.7× 747 2.1× 456 1.4× 416 1.4× 49 1.6k
Robert E. Sobol 796 1.0× 167 0.3× 258 0.7× 534 1.6× 645 2.2× 43 1.8k
W. Christopher Ehmann 754 1.0× 315 0.7× 435 1.2× 594 1.8× 215 0.7× 42 1.3k
Robert Coupland 681 0.9× 841 1.8× 327 0.9× 242 0.7× 429 1.4× 40 1.7k

Countries citing papers authored by Max S. Topp

Since Specialization
Citations

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

Fields of papers citing papers by Max S. Topp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Max S. Topp

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