Jennifer M. Specht

4.0k citations
106 papers · 2.4k indexed · h-index 27
Topics
Medical Imaging Techniques and Applications (31 papers)Breast Cancer Treatment Studies (28 papers)HER2/EGFR in Cancer Research (22 papers)
Journals
The Journal of Experimental MedicineJournal of Clinical OncologySHILAP Revista de lepidopterología

In The Last Decade

Jennifer M. Specht

98 papers receiving 2.3k citations

Peers

Jennifer M. Specht
Comparison fields: 5 of 104
  • Oncology 1.1k
  • Radiology, Nuclear Medicine and Imaging 766
  • Molecular Biology 685
  • Cancer Research 534
  • Pulmonary and Respiratory Medicine 475
Replace Rosaria Orlandi with:
Rosaria Orlandi Italy
Akash Patnaik United States
Andrew Nguyen United States
Howard R. Soule United States
J. Moore United Kingdom
Alberto Gallardo Spain
Peter Nollau Germany
Mark R. Albertini United States
Françoise Rothé Belgium
Leia M. Smith United States
Jennifer M. Specht relative to Rosaria Orlandi Italy Rosaria Orlandi's profile →
Citations per field
00.5×3.8×
Rosaria Orlandi · 1×
Citations per year

Countries citing papers authored by Jennifer M. Specht

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer M. Specht

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer M. Specht

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 0
4 1
5 6
6 1
7 2
8 2
9 20
10 18
11 29
12 22
13 69
14 83
15 4
16 55
17 36
18 28
19 107
20 34

About Jennifer M. Specht

Jennifer M. Specht is a scholar working on Oncology, Cancer Research and Radiology, Nuclear Medicine and Imaging, having authored 106 papers that have together received 2.4k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (31 papers), Breast Cancer Treatment Studies (28 papers) and HER2/EGFR in Cancer Research (22 papers). The work is most often cited by research in Oncology (1.1k citations), Cancer Research (534 citations) and Radiology, Nuclear Medicine and Imaging (766 citations). Jennifer M. Specht has collaborated with scholars based in United States, South Africa and Czechia. Frequent co-authors include David A. Mankoff, Julie R. Gralow, Hannah M. Linden, Brenda F. Kurland, Erin K. Schubert, Robert B. Livingston, Georgiana K. Ellis, Lanell M. Peterson, Lisa K. Dunnwald and Robert K. Doot. Their work appears in journals such as The Journal of Experimental Medicine, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

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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