Eric Martz

14.2k total citations · 5 hit papers
77 papers, 10.7k citations indexed

About

Eric Martz is a scholar working on Immunology, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Eric Martz has authored 77 papers receiving a total of 10.7k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Immunology, 34 papers in Molecular Biology and 18 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Eric Martz's work include Immune Cell Function and Interaction (18 papers), Monoclonal and Polyclonal Antibodies Research (17 papers) and T-cell and B-cell Immunology (13 papers). Eric Martz is often cited by papers focused on Immune Cell Function and Interaction (18 papers), Monoclonal and Polyclonal Antibodies Research (17 papers) and T-cell and B-cell Immunology (13 papers). Eric Martz collaborates with scholars based in United States, Israel and Germany. Eric Martz's co-authors include Tal Pupko, Nir Ben‐Tal, Haim Ashkenazy, Itay Mayrose, Fabian Glaser, Elona Erez, Shiran Abadi, Timothy A. Springer, K. Kürzinger and Y. Rosenberg and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and The Journal of Experimental Medicine.

In The Last Decade

Eric Martz

77 papers receiving 10.3k citations

Hit Papers

5 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.

ConSurf 2016: an improved methodology to estimate and visualize evolutionary conservation in macromolecules

2016 2.2k citations Haim Ashkenazy, Shiran Abadi et al. Nucleic Acids Research profile →
ConSurf 2010: calculating evolutionary conservation in sequence and structure of proteins and nucleic acids

2010 1.5k citations Haim Ashkenazy, Elona Erez et al. Nucleic Acids Research profile →
ConSurf 2005: the projection of evolutionary conservation scores of residues on protein structures

2005 1.1k citations Meytal Landau, Itay Mayrose et al. Nucleic Acids Research profile →
ConSurf: Identification of Functional Regions in Proteinsby Surface-Mapping of Phylogenetic Information

2002 993 citations Fabian Glaser, Tal Pupko et al. profile →
Using evolutionary data to make sense of macromolecules with a “face‐lifted” ConSurf

2023 186 citations Elon Yariv, Amit Kessel et al. Protein Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Eric Martz United States	38	6.4k	2.4k	1.3k	1.2k	887	77	10.7k
Michael W. Hunkapiller United States	44	8.9k 1.4×	1.2k 0.5×	1.9k 1.4×	924 0.8×	992 1.1×	86	13.4k
Robert M. Horton United States	22	7.8k 1.2×	1.8k 0.7×	2.0k 1.5×	695 0.6×	847 1.0×	64	12.6k
Karl Harlos United Kingdom	59	5.4k 0.8×	2.5k 1.0×	717 0.5×	743 0.6×	734 0.8×	156	10.5k
Åke Engström Sweden	47	4.8k 0.7×	2.4k 1.0×	729 0.6×	961 0.8×	442 0.5×	112	8.7k
Steffan N. Ho United States	31	9.6k 1.5×	2.2k 0.9×	2.0k 1.5×	710 0.6×	1.5k 1.6×	51	14.6k
W. Neal Burnette United States	20	4.9k 0.8×	1.2k 0.5×	1.2k 0.9×	1.1k 0.9×	1.0k 1.1×	36	8.9k
Akira Kobata Japan	75	13.3k 2.1×	3.6k 1.5×	1.3k 1.0×	2.6k 2.2×	1.6k 1.8×	242	17.2k
Roland Schauer Germany	54	8.8k 1.4×	2.4k 1.0×	751 0.6×	957 0.8×	1.5k 1.7×	237	11.6k
Rainer Frank Germany	58	8.7k 1.4×	1.9k 0.8×	1.6k 1.2×	424 0.3×	2.6k 2.9×	164	13.8k
Jeffrey K. Pullen United States	11	6.9k 1.1×	1.3k 0.5×	1.9k 1.4×	559 0.5×	767 0.9×	14	10.4k

Countries citing papers authored by Eric Martz

Since Specialization

Citations

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

Fields of papers citing papers by Eric Martz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eric Martz

This figure shows the co-authorship network connecting the top 25 collaborators of Eric Martz. A scholar is included among the top collaborators of Eric Martz 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 Eric Martz. Eric Martz 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:

20 of 20 papers shown

Yariv, Elon, Amit Kessel, Gal Masrati, et al.. (2023). Using evolutionary data to make sense of macromolecules with a “face‐lifted” ConSurf. Protein Science. 32(3). e4582–e4582. 186 indexed citations breakdown →

Walker, David J. F., et al.. (2019). The Archaellum of Methanospirillum hungatei Is Electrically Conductive. mBio. 10(2). 133 indexed citations

Ashkenazy, Haim, Shiran Abadi, Eric Martz, et al.. (2016). ConSurf 2016: an improved methodology to estimate and visualize evolutionary conservation in macromolecules. Nucleic Acids Research. 44(W1). W344–W350. 2170 indexed citations breakdown →

Ashkenazy, Haim, Elona Erez, Eric Martz, Tal Pupko, & Nir Ben‐Tal. (2010). ConSurf 2010: calculating evolutionary conservation in sequence and structure of proteins and nucleic acids. Nucleic Acids Research. 38(Web Server). W529–W533. 1494 indexed citations breakdown →

Rubinstein, Nimrod D., Itay Mayrose, Eric Martz, & Tal Pupko. (2009). Epitopia: a web-server for predicting B-cell epitopes. BMC Bioinformatics. 10(1). 287–287. 177 indexed citations

Hodis, Eran, Jaime Prilusky, Eric Martz, et al.. (2008). Proteopedia- a scientific 'wiki' bridging the rift between three-dimensional structure and function of biomacromolecules. Genome biology. 9(8). R121–R121. 64 indexed citations

Landau, Meytal, Itay Mayrose, Y. Rosenberg, et al.. (2005). ConSurf 2005: the projection of evolutionary conservation scores of residues on protein structures. Nucleic Acids Research. 33(Web Server). W299–W302. 1144 indexed citations breakdown →

Martz, Eric & S Gamble. (1992). How Do CTL Control Virus Infections? Evidence for Prelytic Halt of Herpes simplex. Viral Immunology. 5(1). 81–91. 18 indexed citations

Howell, D M & Eric Martz. (1988). Nuclear disintegration induced by cytotoxic T lymphocytes. Evidence against damage to the nuclear envelope of the target cell.. The Journal of Immunology. 140(3). 689–692. 14 indexed citations

10.

Howell, D M & Eric Martz. (1987). Intracellular Reovirus Survives Cytotoxic T Lymphocyte-mediated Lysis of its Host Cell. Journal of General Virology. 68(11). 2899–2907. 13 indexed citations

11.

Gromkowski, S H, Wyrta Heagy, & Eric Martz. (1985). Blocking of CTL-mediated killing by monoclonal antibodies to LFA-1 and Lyt-2, 3. II. Evidence that trypsin pretreatment of target cells removes a non-H-2 molecule important in killing.. The Journal of Immunology. 134(1). 70–77. 20 indexed citations

12.

Mentzer, Steven J., S H Gromkowski, Alan M. Krensky, S J Burakoff, & Eric Martz. (1985). LFA-1 membrane molecule in the regulation of homotypic adhesions of human B lymphocytes.. The Journal of Immunology. 135(1). 9–11. 80 indexed citations

13.

Martz, Eric, Wyrta Heagy, & Stanislaw H. Gromkowski. (1983). The Mechanism of CTL‐Mediated Killing: Monoclonal Antibody Analysis of the Roles of Killer and Target‐Cell Membrane Proteins. Immunological Reviews. 72(1). 73–96. 66 indexed citations

14.

Parker, Wendy L. & Eric Martz. (1982). Calcium ionophore A23187 as a secretagogue for rat mast cells: Does it bypass inhibition by calcium flux blockers?. Inflammation Research. 12(3). 276–284. 12 indexed citations

15.

Gately, Maurice K. & Eric Martz. (1981). Early steps in specific tumor cell lysis by sensitized mouse T lymphocytes. Cellular Immunology. 61(1). 78–89. 12 indexed citations

16.

Gately, Maurice K. & Eric Martz. (1981). T11: a new protein marker on activated murine T lymphocytes.. The Journal of Immunology. 126(2). 709–714. 10 indexed citations

17.

Martz, Eric. (1975). Early steps in specific tumor cell lysis by sensitized mouse T lymphocytes. I. Resolution and characterization.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 115(1). 261–7. 118 indexed citations

18.

Burakoff, Steven J., Eric Martz, & Baruj Benacerraf. (1975). Is the primary complement lesion insufficient for lysis? Failure of cells damaged under osmotic protection to lyse in EDTA or at low temperature after removal of osmotic protection. Clinical Immunology and Immunopathology. 4(1). 108–126. 27 indexed citations

19.

Martz, Eric & Malcolm S. Steinberg. (1974). Movement in a confluent 3t3 monolayer and the causes of contact inhibition of overlapping. Journal of Cell Science. 15(1). 201–216. 22 indexed citations

20.

Martz, Eric & Malcolm S. Steinberg. (1973). Contact inhibition of what? An analytical review. Journal of Cellular Physiology. 81(1). 25–37. 74 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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