Max Henderson

618 total citations
9 papers, 476 citations indexed

About

Max Henderson is a scholar working on Molecular Biology, Organic Chemistry and Rheumatology. According to data from OpenAlex, Max Henderson has authored 9 papers receiving a total of 476 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Organic Chemistry and 2 papers in Rheumatology. Recurrent topics in Max Henderson's work include Bacterial Genetics and Biotechnology (2 papers), Eosinophilic Disorders and Syndromes (2 papers) and RNA and protein synthesis mechanisms (2 papers). Max Henderson is often cited by papers focused on Bacterial Genetics and Biotechnology (2 papers), Eosinophilic Disorders and Syndromes (2 papers) and RNA and protein synthesis mechanisms (2 papers). Max Henderson collaborates with scholars based in United States, United Kingdom and Canada. Max Henderson's co-authors include Markus A. Seeliger, John Kuriyan, Bhushan Nagar, Filipp Frank, Matthew A. Young, Arnold M. Falick, Patricia Pellicena, David S. King, Maria A. Schumacher and Hengshan Zhang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Max Henderson

9 papers receiving 468 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Max Henderson United States	6	318	110	73	70	60	9	476
Lynne Cregar United States	12	251 0.8×	53 0.5×	41 0.6×	58 0.8×	19 0.3×	14	401
Steven D. Podos United States	16	588 1.8×	56 0.5×	45 0.6×	121 1.7×	21 0.3×	33	884
John Newcomb United States	15	481 1.5×	57 0.5×	173 2.4×	106 1.5×	193 3.2×	25	1.2k
Alexey Dementiev United States	11	264 0.8×	196 1.8×	50 0.7×	39 0.6×	12 0.2×	18	561
Albert Weijland France	10	503 1.6×	49 0.4×	73 1.0×	22 0.3×	56 0.9×	11	603
Tarikere Gururaja United States	14	390 1.2×	50 0.5×	80 1.1×	83 1.2×	66 1.1×	33	595
R.K. Suto United States	13	1.4k 4.4×	130 1.2×	60 0.8×	58 0.8×	10 0.2×	20	1.5k
Cindy S. Luo Australia	9	343 1.1×	38 0.3×	152 2.1×	24 0.3×	27 0.5×	10	535
Marieke Lamers United Kingdom	11	282 0.9×	21 0.2×	78 1.1×	45 0.6×	12 0.2×	14	394
Ljudmila Borissenko Germany	6	600 1.9×	34 0.3×	229 3.1×	128 1.8×	24 0.4×	7	830

Countries citing papers authored by Max Henderson

Since Specialization

Citations

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

Fields of papers citing papers by Max Henderson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Max Henderson

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Liu, Haijiao, Max Henderson, Zhili Pang, et al.. (2025). Structural determinants for pH-dependent activation of a plant metacaspase. Nature Communications. 16(1). 4973–4973. 1 indexed citations

2.

Dai, Xin, et al.. (2025). Predicting Metal-binding Proteins and Structures Through Integration of Evolutionary-scale and Physics-based Modeling. Journal of Molecular Biology. 437(6). 168962–168962. 2 indexed citations

3.

Schumacher, Maria A., Mirka E. Wörmann, Max Henderson, et al.. (2022). Allosteric regulation of glycogen breakdown by the second messenger cyclic di-GMP. Nature Communications. 13(1). 5834–5834. 21 indexed citations

4.

Schumacher, Maria A., Neil A. Holmes, Govind Chandra, et al.. (2021). Evolution of a σ–(c-di-GMP)–anti-σ switch. Proceedings of the National Academy of Sciences. 118(30). 10 indexed citations

5.

Schumacher, Maria A., Max Henderson, & Wenjie Zeng. (2019). Structures of MERS1, the 5′ processing enzyme of mitochondrial mRNAs in Trypanosoma brucei. RNA. 26(1). 69–82. 3 indexed citations

6.

Schumacher, Maria A., Matthew J. Bush, Maureen J. Bibb, et al.. (2019). c-di-GMP Arms an Anti-σ to Control Progression of Multicellular Differentiation in Streptomyces. Molecular Cell. 77(3). 586–599.e6. 63 indexed citations

7.

Schumacher, Maria A., Max Henderson, & Hengshan Zhang. (2019). Structures of maintenance of carboxysome distribution Walker-box McdA and McdB adaptor homologs. Nucleic Acids Research. 47(11). 5950–5962. 11 indexed citations

8.

Seeliger, Markus A., et al.. (2007). c-Src Binds to the Cancer Drug Imatinib with an Inactive Abl/c-Kit Conformation and a Distributed Thermodynamic Penalty. Structure. 15(3). 299–311. 181 indexed citations

9.

Seeliger, Markus A., Matthew A. Young, Max Henderson, et al.. (2005). High yield bacterial expression of active c‐Abl and c‐Src tyrosine kinases. Protein Science. 14(12). 3135–3139. 184 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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