Jack M. Craig

1.6k total citations · 1 hit paper
17 papers, 861 citations indexed

About

Jack M. Craig is a scholar working on Nature and Landscape Conservation, Aquatic Science and Molecular Biology. According to data from OpenAlex, Jack M. Craig has authored 17 papers receiving a total of 861 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Nature and Landscape Conservation, 10 papers in Aquatic Science and 6 papers in Molecular Biology. Recurrent topics in Jack M. Craig's work include Fish Biology and Ecology Studies (10 papers), Fish biology, ecology, and behavior (10 papers) and Ichthyology and Marine Biology (9 papers). Jack M. Craig is often cited by papers focused on Fish Biology and Ecology Studies (10 papers), Fish biology, ecology, and behavior (10 papers) and Ichthyology and Marine Biology (9 papers). Jack M. Craig collaborates with scholars based in United States, Brazil and Peru. Jack M. Craig's co-authors include S. Blair Hedges, Sudhir Kumar, Maxwell Sanderford, Glen Stecher, Michael Suleski, James S. Albert, Victor Alberto Tagliacollo., Cláudio Oliveira, William G. R. Crampton and Nivaldo Magalhães Piorski and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Molecular Biology and Evolution.

In The Last Decade

Jack M. Craig

15 papers receiving 858 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.

TimeTree 5: An Expanded Resource for Species Divergence Times

2022 656 citations Sudhir Kumar, Michael Suleski et al. Molecular Biology and Evolution profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jack M. Craig United States	9	380	205	184	183	139	17	861
Thomas F. Laughlin United States	13	414 1.1×	103 0.5×	446 2.4×	154 0.8×	39 0.3×	21	893
Gary C. Longo United States	9	274 0.7×	118 0.6×	195 1.1×	102 0.6×	34 0.2×	18	632
Angel G. Rivera‐Colón United States	9	306 0.8×	156 0.8×	528 2.9×	156 0.9×	53 0.4×	17	936
Carla De Giorgi Italy	12	452 1.2×	61 0.3×	165 0.9×	260 1.4×	60 0.4×	25	866
John S. Ramsey United States	18	431 1.1×	221 1.1×	99 0.5×	532 2.9×	103 0.7×	45	1.2k
Matthew A. Conte United States	22	492 1.3×	161 0.8×	677 3.7×	396 2.2×	218 1.6×	40	1.2k
James Tagliavini Italy	17	194 0.5×	209 1.0×	286 1.6×	122 0.7×	127 0.9×	38	823
Glen E. Collier United States	15	252 0.7×	325 1.6×	216 1.2×	45 0.2×	236 1.7×	33	839
Naifa Liu China	20	306 0.8×	138 0.7×	501 2.7×	67 0.4×	45 0.3×	102	1.1k
Ole K. Tørresen Norway	22	774 2.0×	319 1.6×	561 3.0×	208 1.1×	224 1.6×	37	1.6k

Countries citing papers authored by Jack M. Craig

Since Specialization

Citations

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

Fields of papers citing papers by Jack M. Craig

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jack M. Craig. 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 Jack M. Craig. The network helps show where Jack M. Craig may publish in the future.

Co-authorship network of co-authors of Jack M. Craig

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

All Works

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17 of 17 papers shown

Barba‐Montoya, Jose, Jack M. Craig, & Sudhir Kumar. (2025). Integrating phylogenies with chronology to assemble the tree of life. Frontiers in Bioinformatics. 5. 1571568–1571568.

Tagliacollo., Victor Alberto, et al.. (2024). Time-calibrated phylogeny of neotropical freshwater fishes. SHILAP Revista de lepidopterología. 4. 1433995–1433995. 1 indexed citations

Craig, Jack M., S. Blair Hedges, & Sudhir Kumar. (2024). Completing a molecular timetree of primates. SHILAP Revista de lepidopterología. 4. 1495417–1495417. 2 indexed citations

Craig, Jack M., et al.. (2023). Completing a molecular timetree of apes and monkeys. SHILAP Revista de lepidopterología. 3. 1284744–1284744. 2 indexed citations

Craig, Jack M., et al.. (2023). Methods for Estimating Personal Disease Risk and Phylogenetic Diversity of Hematopoietic Stem Cells. Molecular Biology and Evolution. 41(1).

Craig, Jack M., Sudhir Kumar, & S. Blair Hedges. (2023). The origin of eukaryotes and rise in complexity were synchronous with the rise in oxygen. SHILAP Revista de lepidopterología. 3. 1233281–1233281. 13 indexed citations

Kumar, Sudhir, Michael Suleski, Jack M. Craig, et al.. (2022). TimeTree 5: An Expanded Resource for Species Divergence Times. Molecular Biology and Evolution. 39(8). 656 indexed citations breakdown →

Craig, Jack M., Sudhir Kumar, & S. Blair Hedges. (2022). Limitations of Phylogenomic Data Can Drive Inferred Speciation Rate Shifts. Molecular Biology and Evolution. 39(3). 10 indexed citations

Craig, Jack M., Tiago Pinto Carvalho, Prosanta Chakrabarty, et al.. (2020). Using community phylogenetics to assess phylogenetic structure in the Fitzcarrald region of Western Amazonia. Neotropical Ichthyology. 18(2). 8 indexed citations

10.

Craig, Jack M., et al.. (2019). Historical biogeography of fishes from coastal basins of Maranhão State, northeastern Brazil. Neotropical Ichthyology. 17(2). 23 indexed citations

11.

Craig, Jack M., et al.. (2019). Phylogenetic revision of Gymnotidae (Teleostei: Gymnotiformes), with descriptions of six subgenera. PLoS ONE. 14(11). e0224599–e0224599. 16 indexed citations

12.

Craig, Jack M., et al.. (2019). Sexual Size Dimorphism in the Macana Tigrina, Gymnotus javari (Gymnotidae, Gymnotiformes). Copeia. 107(2). 305–305. 6 indexed citations

13.

Craig, Jack M., et al.. (2018). Revision of Gymnotus (Gymnotiformes: Gymnotidae) from the Upper Madeira Basin of Bolivia and Peru, with descriptions of two new species. Zootaxa. 4413(1). 111–132. 5 indexed citations

14.

Craig, Jack M., Luiz Roberto Malabarba, William G. R. Crampton, & James S. Albert. (2018). Revision of Banded Knifefishes of the Gymnotus carapo and G. tigre clades (Gymnotidae Gymnotiformes) from the Southern Neotropics. Zootaxa. 4379(1). 47–73. 11 indexed citations

15.

Craig, Jack M., William G. R. Crampton, & James S. Albert. (2017). Revision of the polytypic electric fish Gymnotus carapo (Gymnotiformes, Teleostei), with descriptions of seven subspecies. Zootaxa. 4318(3). 25 indexed citations

16.

Tagliacollo., Victor Alberto, et al.. (2016). Data supporting phylogenetic reconstructions of the Neotropical clade Gymnotiformes. Data in Brief. 7. 23–59. 7 indexed citations

17.

Tagliacollo., Victor Alberto, et al.. (2015). Model-based total evidence phylogeny of Neotropical electric knifefishes (Teleostei, Gymnotiformes). Molecular Phylogenetics and Evolution. 95. 20–33. 76 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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