Mendel Goldfinger

1.8k citations
53 papers · 738 indexed · 1 hit paper · h-index 8
Topics
Acute Myeloid Leukemia Research (17 papers)Multiple Myeloma Research and Treatments (7 papers)Lymphoma Diagnosis and Treatment (7 papers)

In The Last Decade

Mendel Goldfinger

38 papers receiving 724 citations

Hit Papers

Case Fatality Rate of Cancer Patients with COVID-19 in a ...20202026202220242020100200300400500

Peers

Mendel Goldfinger
Comparison fields: 5 of 66
  • Oncology 557
  • Infectious Diseases 312
  • General Health Professions 90
  • Obstetrics and Gynecology 79
  • Pulmonary and Respiratory Medicine 76
Replace Benjamin A. Gartrell with:
Benjamin A. Gartrell United States
Bradley D. Hunter United States
Urshila Durani United States
Amy Liu United States
Richard Welch United Kingdom
Jessica E. Hawley United States
Johanna N. Spaans Canada
Christine M. Bestvina United States
Feng Jung Sherida H. Woei-A-Jin Belgium
Melissa Lumish United States
Mendel Goldfinger relative to Benjamin A. Gartrell United States Benjamin A. Gartrell's profile →
Citations per field
00.5×1.5×2.4×
Benjamin A. Gartrell · 1×
Citations per year

Countries citing papers authored by Mendel Goldfinger

Since Specialization
Citations

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

Fields of papers citing papers by Mendel Goldfinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mendel Goldfinger

This figure shows the co-authorship network connecting the top 25 collaborators of Mendel Goldfinger. A scholar is included among the top collaborators of Mendel Goldfinger 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 Mendel Goldfinger. Mendel Goldfinger 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 3
2 0
3 5
4 10
5 1
6 9
7 0
8 1
9 0
10 0
11 15
12 9
13
Case Fatality Rate of Cancer Patients with COVID-19 in a New York Hospital Systembreakdown →
521
14 5
15 0
16 2
17 1
18 4
19 3
20 79

About Mendel Goldfinger

Mendel Goldfinger is a scholar working on Hematology, Genetics and Oncology, having authored 53 papers that have together received 738 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (17 papers), Multiple Myeloma Research and Treatments (7 papers) and Lymphoma Diagnosis and Treatment (7 papers). The work is most often cited by research in Oncology (557 citations), Infectious Diseases (312 citations) and Obstetrics and Gynecology (79 citations). Mendel Goldfinger has collaborated with scholars based in United States, Australia and India. Frequent co-authors include Amit Verma, Kith Pradhan, Rafi Kabarriti, Ana Acuña-Villaorduña, Raja Thota, Balázs Halmos, Richard V. Smith, Andrew D. Racine, Vikas Mehta and Román Pérez-Soler. Their work appears in journals such as Nature Genetics, Journal of Clinical Oncology and Blood.

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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